Relevant bibliographies by topics / Sectoral Indices

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Academic literature on the topic 'Sectoral Indices'

Author: Grafiati
Published: 3 June 2025
Last updated: 6 July 2025

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Journal articles on the topic "Sectoral Indices"

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Robiyanto, Robiyanto. "Penggunaan Metode Orthogonal GARCH untuk Meramalkan Matriks Kovarians Return Indeks Harga Saham Sektoral Di Bursa Efek Indonesia." Jurnal Ekonomi Kuantitatif Terapan 12, no. 2 (2019): 30. http://dx.doi.org/10.24843/jekt.2019.v12.i02.p05.

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ABSTRACT
 
 This study conducted a risk communality assessment on sectoral stock price indices in Indonesia Stock Exchange by using Orthogonal Generalized Autoregressive Conditional Heteroscedasticity (Orthogonal GARCH) method. Data used in this research is daily closing of sectoral stock price indices at Indonesia Stock Exchange which consisting of 10 sectoral price indices. Research period are during January 4, 2011 until July 17, 2017. Of 10 sectoral stock price indices which studied apparently there are two principal component influencing its conditional variance. The result of this research is that stock index of agriculture and mining sector have the same risk factor, while other sectoral stock price indices have the same risk factor. These findings imply that investment managers must differentiate risk factors for agricultural and mining sectors from other sectors.
 
 Keywords : Orthogonal GARCH; Indonesia Stock Exchange; Value-at-Risk (VaR); Sectoral stock price indices; Covariance matrix
 
 JEL Classification : C58; G11.
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Sucuahi, William T. "Predicting Long-Run and Short-Run Movement of Sectoral Index: Evidence From Philippine Stock Market." International Journal of Financial Research 14, no. 2 (2023): 18. http://dx.doi.org/10.5430/ijfr.v14n2p18.

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The financial markets provide a viable avenue for investors who wants to invest their idle resources. Investors need accurate information to minimize investment risk and make the right investment decision. This study attempted to test the predictability of the Philippine Stock Exchange (PSE) sectoral indices. The data used in this study are the daily closing price of the six sectoral indices from January 2010 to December 2019. Augmented Dickey-Fuller (ADF) for stationarity test and Johansen Cointegration and Granger Causality analysis were used to test the long-run and short-run relationship among the six sectoral indices. The results showed that all indices are not predictable at the index level (I(0)) but predictable at the first difference (I(1)). The study found no long-run relationships between sectoral indices. The result also revealed that the sectoral indices have a short-run relationship in both directions.
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Rudzkis, Rimantas, and Roma Valkavičienė. "ECONOMETRIC MODELS OF THE IMPACT OF MACROECONOMIC PROCESSES ON THE STOCK MARKET IN THE BALTIC COUNTRIES." Technological and Economic Development of Economy 20, no. 4 (2014): 783–800. http://dx.doi.org/10.3846/20294913.2014.949901.

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The article examines the dependencies of individual sectoral stock price indices of OMX Baltic security market on macroeconomic indicators, using econometric methods. Regression models are constructed using quarterly time series of 2000–2011 years while the methodology is backed with the findings of Lithuanian and foreign scientists from an extensive overview of specific literature. Regression equations, obtained in the paper, allows us to identify the key macroeconomic and global indicators that statistically significantly affect the Baltic securities market and to quantify their impact on the stock price indices of individual sectors in the Baltic countries. Econometric analysis of OMX Baltic security market proves the hypothesis that the set of macroeconomic regressors may vary considerably depending on the individual sector's price indices, especially in the case of small open economy with immature stock markets. The paper provides investors who are shaping their portfolios taking into account the macroeconomic forecasts with additional opportunities on the basis of sectoral stock price indices regression equations.
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Ashri, Dhananjay, Bibhu Prasad Sahoo, Ankita Gulati, and Irfan UL Haq. "Repercussions of COVID-19 on the Indian stock market." Linguistics and Culture Review 5, S1 (2021): 1495–509. http://dx.doi.org/10.21744/lingcure.v5ns1.1792.

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The present paper determines the repercussions of the coronavirus on the Indian financial markets by taking the eight sectoral indices into account. By taking the sectoral indices into account, the study deduces the impact of virus outbreak on the various sectoral indices of the Indian stock market. Employing Welch's t-test and Non-parametric Mann-Whitney U test, we empirically analysed the daily returns of eight sectoral indices: Nifty Auto, Nifty FMCG, Nifty IT, Nifty Media, Nifty Metal, Nifty Oil and Gas, Nifty Pharma, and Nifty Bank. The results unveiled that pandemic had a negative impact on the automobile, FMCG, pharmaceuticals, and oil and gas sectors in the short run. In the long run, automobile, oil and gas, metals, and the banking sector have suffered enormously. The results further unveiled that no selected indices underperformed the domestic average, except NIFTY Auto.
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El Msiyah, Cherif, Jaouad Madkour, Younes Berouaga, Ayoub Kyoud, and Ali Ait Lahcen. "Moroccan Stock Exchange market topology in crisis and non-crisis periods." Investment Management and Financial Innovations 19, no. 4 (2022): 274–84. http://dx.doi.org/10.21511/imfi.19(4).2022.22.

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This paper seeks to investigate the dynamics within the Moroccan Stock Exchange (MSE) market topology in crisis and non-crisis periods using daily historical log returns of sectoral indices covering the period from January 4, 1993 to September 9, 2021. The study applies the Agglomerative Hierarchical Clustering (AHC) implemented on the Dynamic Time Warping (DTW) distance matrix over ten sub-periods covering numerous crises, from Subprime mortgage crisis to European debt crisis and finally COVID-19 crisis. The obtained clustering results are gathered into a network to display the cumulated interconnections between the sectoral indices. The findings showed that the Casablanca Stock Exchange (CSE) market clusters composition is dynamic during the studied period. Indeed, some sectoral indices demonstrated evidence of strong similarities by gathering in the same cluster over numerous sub-periods as the couples Electrical & Electronic Equipment and Transport or as Banks and Construction & Building Materials sectoral indices. Moreover, the interconnections of CSE sectoral indices are trend dependent. According to the obtained network, the Oil and Gas demonstrated its centrality.
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Olaniyan Sunday Michael and Abiola Bankole. "Modelling the Relationship between Sectoral Indices of the Stock Market in Nigeria (All Share Index Vs. Other Index)." UMYU Journal of Accounting and Finance Research 1, no. 1 (2023): 100–112. http://dx.doi.org/10.61143/umyu-jafr.1(1)2021.006.

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This study investigated the relationship between the returns of the sectoral indices using correlations analysis and beta analysis on weekly index values of sectoral indices with a base value of 157 points of specific sectors at the Nigerian Stock Exchange (NSE) from 04 October 2013 until 30 September 2016. The result shows that returns across various sectors tend to be correlated which indicated that risk diversification would be difficult. All Share Index returns have a positive relationship with the vast majority of the sectoral indices indicating that many indexes performance is alongside the 'All-share index’. Finding from the beta analysis shows that some indices are more volatile than the market while some are less volatile than the market. This study will aid investors/portfolio managers in reducing their portfolio risk, getting safe returns, providing specific investment opportunities, and direction for suitable investment decisions for the Nigerian market using such sectoral indices
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T. A., Krishna, and Suresha B. "Intensified geopolitical conflicts and herding behavior: An evidence from selected Nifty sectoral indices during India-China tensions in 2020." Investment Management and Financial Innovations 19, no. 1 (2022): 300–312. http://dx.doi.org/10.21511/imfi.19(1).2022.23.

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The recent India-China geopolitical conflicts have presented enormous uncertainty to the investors in various sectoral indices of the Indian stock market. This empirical study aims to examine the impact of intensified India-China geopolitical conflicts 2020 on investors’ herding behavior in the National Stock Exchange sectoral indices. The high-frequency data of three major NIFTY sectoral indices (Auto, Energy, and Pharma) are used in an intensified geopolitical event window to spot precisely the traces of the investors’ herding behavior. Furthermore, multifractal detrended fluctuation analysis (MFDFA) is employed to obtain Hurst Exponent values (h(q)) for the NIFTY sectoral indices. The findings reveal that these NIFTY sectoral indices exhibited profound traces of herding behavior on the event day (t = 0) due to the heightened India-China geopolitical clashes. In addition, these indices depicted an overall higher level herding behavior with the (h(q)) values close to 0.72 throughout the intensified geopolitical event window. The study concludes that the sectors highly reliant on the Chinese supplies and with significant trade linkages with China depicted a higher level of herding behavior in their indices. Further, the presence of herding behavior in these sectoral indices is due to the operational and supply-chain risks posed by the geopolitical event. AcknowledgmentsThe authors express their sincere thanks of gratitude to Dr. Bikramaditya Ghosh (Associate Professor, Symbiosis Institute of Business and Management, Bangalore, India) and Dr. Iqbal Thonse Hawaldar (Professor, College of Business Administration, Kingdom University, Riffa, Bahrain) for their instrumental role in encouraging and motivating them to accomplish this publication. The authors also extend their sincere thanks to Dr. Manu K.S and Dr. Surekha Nayak (Assistant Professor, School of Business and Management, CHRIST (Deemed to be university), Bangalore, India) for their continued support throughout this empirical investigation.
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Matha, Rajeev, Geetha E., Satish Kumar, and Raghavendra. "Dynamic relationship between equity, bond, commodity, forex and foreign institutional investments: Evidence from India." Investment Management and Financial Innovations 19, no. 4 (2022): 65–82. http://dx.doi.org/10.21511/imfi.19(4).2022.06.

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The interrelationship between equity, bond, commodity and forex movements can provide investors with abundant trading opportunities regardless of whether one market is trending upward or downward. Hence, to understand the interlinkage between markets, this study examines the long-run and causal linkage between forex, G-sec bonds, oil prices, gold rates, foreign institutional investment (FII) flows, and equity market and sectoral index returns. Daily time-series data from August 2012 to August 2021 were considered for empirical analysis. Johansen’s cointegration test revealed that foreign exchanges like USD, Euro, GBP and Yen, oil and gold rates, G-bond returns and FII flows were significantly cointegrated with the stock market and sectoral indices in the long run. Further, Granger causality found a uni-directional relationship between forex rates (i.e., USD, Euro, Yen) and the market, as well as sectoral indices, except Nifty 50 and Nifty IT indices. Oil price movements were found to effectively predict future price changes of Nifty consumer durables, auto, IT indices. Gold prices are useful to predict Nifty-Auto, Bank, Financial Services, Oil & Gas and PSU. The study also found a bi-directional relationship from FII inflows to the stock market and sectoral indices. The findings suggest that forex rates, oil prices and FII flows significantly affect India’s stock market and sectoral performance. The study contributes to the existing literature by comprehensively examining the interlinkage between commodities such as oil and gold, foreign exchanges like USD, Euro, GBP and Yen, G-bond, FII flows and the stock market, and fourteen sectoral indices in the Indian context.
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Bernardino, Wilton, Leonardo Brito, Raydonal Ospina, and Silvio Melo. "A GARCH-VaR Investigation on the Brazilian Sectoral Stock Indices." Brazilian Review of Finance 16, no. 4 (2019): 573. http://dx.doi.org/10.12660/rbfin.v16n4.2018.74676.

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In this paper, we have explored operational risk in Brazil by considering different sectoral indices of the Brazilian economy and the GACH Value-at-Risk (GARCH-VaR) estimation approach. We have carried a statistical evaluation of the eight Brazilian sectoral stock indices during different time ranges so that VaR methodologies could be chosen according to the data. We have analyzed the sectoral Brazilian indices during a common time range where we have realized VaR backtests using recent data. The results of the study reveals that VaR may be an effective tool on minimizing risk exposure and potentially to avoid losses when trading in the Brazilian stock market. Furthermore, we have showed that different sectors of the Brazilian economy have significantly different risk behavior. In particular, the consumption and industrial sectoral indices presented the best risk performance. In this sense, we highlight that this type of analysis would be useful to small lenders/investors in evaluating the attractiveness of lending/investing on the Brazilian stock market.
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Khurshid, Ali, Ahmad Malik Irshad, Ashraf Chisti Khalid, and Showkat Numaira. "Inflation and Stock Market Returns: An Empirical Study of Sectoral Indices with Special Reference to India." Economics and Business Quarterly Reviews 6, no. 1 (2023): 148–54. https://doi.org/10.31014/aior.1992.06.01.493.

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In this study an attempt has been undertaken so as to establish the relationship between sectoral indices returns and inflation numbers. In order to achieve the objective of the study, all the sectoral indices have been taken in the study except two (02) indices because they were introduced in the National Stock Exchange in the recent past and, therefore, their data is not available for the whole reference period of the study. The indices that are in the study are, (CNX Auto Index, CNX Bank Index, CNX Energy Index, CNX Finance Index, CNX FMCG Index, CNX IT Index, CNX Metal Index, CNX MNC Index, CNX Pharma Index, CNX PSU Bank Index). The study took eight years of reference period throughout which all the indices that are included in the sample were available. The researchers have employed Pearson correlation method so as to establish the relationship between inflation and sectoral indices returns. The findings of the study put forth that most of the indices do possess statistically significant relationship with inflation numbers.
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Dissertations / Theses on the topic "Sectoral Indices"

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Gonçalves, Carina Oliveira. "A competitividade do comércio internacional dos serviços em Portugal." Master's thesis, Instituto Superior de Economia e Gestão, 2015. http://hdl.handle.net/10400.5/11300.

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Mestrado em Economia Internacional e Estudos Europeus<br>A relevância económica do setor dos serviços tem aumentado nas últimas décadas. A reorientação para os serviços traduziu-se em maiores pesos deste setor nas economias e consequentemente no comércio internacional. O objetivo principal deste trabalho consiste em analisar o comércio internacional de serviços da economia portuguesa a um nível relativamente desagregado ao longo da última década. Para atingir este objetivo, começa-se por se estudar a especialização setorial das exportações portuguesas de serviços ao longo do período 2000-2012 e por analisar os pesos de cada setor no total de exportações de serviços. Seguidamente, avalia-se a especialização relativa de Portugal e identifica-se as vantagens comparativas, calculadas através do indicador tradicional de vantagem comparativa revelada de Balassa. Posteriormente, compara-se os resultados com os principais parceiros comerciais.<br>The economic revelance of the services sector has been increasing for some decades. The shift to services translated into rising shares of this sector in the economies and consequently on international trade. The main objective of this study is to examine international trade in services of the Portuguese economy at a relatively disaggregated level over the past decade. To achieve this goal, one begins by studying the sectoral specialization of Portuguese exports of services over the period 2000-2012 and for reviewing the weights of each sector in total exports of services. Then, we evaluate the relative expertise of Portugal and identifies the comparative advantages, calculated by the traditional indicator of comparative advantage of Balassa. And finally, compares the results with trading partners.
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Larsson, Mattias, and Peter Dellgren. "Sector Rotation Strategy Applied on the Swedish Stock Market : Do Swedish sector indices experience momentum effects?" Thesis, Uppsala University, Department of Business Studies, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-101015.

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<p>This thesis is an empirical analysis on momentum effects on the Swedish stock exchange’s sector indicesduring the period 2001 to 2009. The momentum effect is investigated by buying previous winner andshort selling previous losers with holding and formation periods over an intermediate time period (1-12month period). Our results are not coherent with previous studies conducted on the U.S market or theworld market, instead our results indicate that the Swedish stock exchange’s sector indices experience acontrarian effect over the intermediate time period. The results are adjusted for systematic risk and aresignificant on the 5%-level. Our result show that the weak form of the efficient market hypothesis isviolated and we therefore believe that a demand exists for easy and convenient investment vehicles withsector specific exposure, which could have a positive effect on the efficiency of the market.</p>
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Aponte, Trujillo Rosa Melissa, La Torre Poma René Gagarin De, Zúñiga Mauricio Daniel Marchese, and Andrade Luis Enrique Otiniano. "Propuesta de indice de transparencia corporativa para un sector empresarial." Master's thesis, Pontificia Universidad Católica del Perú, 2018. http://tesis.pucp.edu.pe/repositorio/handle/123456789/13204.

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La presente investigación pretende desarrollar un índice que mida el nivel de transparencia corporativa de un determinado sector empresarial o grupo de empresas que participan en el mercado peruano. Este estudio considera de suma importancia contar con mecanismos que permitan a las empresas transmitir cierto nivel de garantía respecto al nivel de transparencia corporativa con el que se muestran al público en general; así como la relevancia de definir un concepto de transparencia para determinar el alcance y la capacidad real que tendrá cualquier instrumento desarrollado para medir dicha variable. Para este estudio, la transparencia corporativa ha sido definida como la publicación de información oportuna y relevante para la evaluación de una organización (Lindstedt & Naurin, 2010). El Índice de Transparencia Corporativa Perú (ITC Perú) propuesto en el presente estudio está conformado por cuatro pilares: a) Gobierno Corporativo, b) Información Financiera, c) Accesibilidad a la Información y d) Percepción de Transparencia. Cada pilar está compuesto por dos factores y cada factor por siete variables, teniendo en total 96 variables. El puntaje final de cada sector empresarial o grupo de empresas evaluadas se obtendrá a partir de la suma del puntaje estandarizado de cada pilar. Los tres primeros pilares se recolectarán a partir de información pública y el cuarto pilar se recolectará a partir de una encuesta de percepción. El ITC Perú propuesto fue validado por expertos en metodología y lingüista, estadística y especialistas en transparencia corporativa. El ITC Perú se aplicó a siete empresas del sector Construcción Industrial del Perú. Los puntajes promedios de los pilares fueron: Gobierno Corporativo, 75.71%; Información Financiera, 77.14%; Accesibilidad a la Información, 95%; y Percepción de Transparencia Corporativa, 65.3%. La itinerancia de los resultados revela que las empresas evaluadas deberían preocuparse más acerca de la Transparencia Corporativa que proyectan a sus grupos de interés, especialmente en lo relacionado a la percepción de sus actividades.<br>The present investigation aims to construct a composite index capable of measuring the level of corporate transparency of a specific economic sector or business group which participate within the peruvian market. This study considers the existence of mechanisms, whereby businesses may offer investors a certain degree of guarantees regarding the level of corporate transparency which they show to the general public within their organization, to be of outmost importance; as well as the definition of a concept of corporate transparency in order to allow the determination of the study’s reach and real capacity to measure transparency in general. For the present study, corporate transparency has been defined as the oportune and relevant disclosure of information, in order to evaluate a specific organization (Lindstedt & Naurin, 2010). The Corporate Transparency Index Perú (ITC Perú) proposed in the present study is composed by four pillars: a) Corporate Governance, b) Financial Information, c) Information Accessibility and d) Transparency Perception. Each pillar is in turn composed by two factors, and each factor by seven variables, resulting in a total of 96 variables. The final score for the evaluated economic sector or business group under evaluation is obtained from the aggregation of each pillar’s standarized final score. The first three pillars will be measured through publicly available information , and the fourth pillar will be measured through a corporate perception survey. The proposed index has been validated by experts in methodology and linguistics, as well as statistics and the subject at hand. The ITC Perú has been applied on seven firms in the industrial construction market in Perú. The average scores for each pillar were: Corporate Gobernance, 75.71%; Financial Information, 77.14%; Information Accessibility, 95%; and Transparency Perception, 65.3%. These results reveal a need for the evaluated firms to focus on the perception of transparency that they communicate to their stakeholders, specially in relation to their own activities.<br>Tesis
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Acres, Daniel Nigel Gerard. "The behaviour of style anomalies in worldwide sector indices : a univariate and multivariate analysis." Master's thesis, University of Cape Town, 2007. http://hdl.handle.net/11427/8909.

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Includes bibliographical references.<br>The aim of this thesis is to explain the cross-section of International Classification Benchmark (ICB) level 4 (sector) index returns. A worldwide study of 48 developed and emerging countries is conducted, considering up to 38 sector indices per country. In cluster and factor analyses of the sector returns all the developed markets are found to cluster together, as are the emerging markets, suggesting diversificationary benefits from investing across the two. The one-month-ahead return forecasting power of 35 sector-specific attributes is investigated over an in-sample period from 31 January 1995 to 31 December 2001 and an out-sample period from 31 January 2002 to 31 December 2005. The data is adjusted for look-ahead bias, outliers, influential observations and non-uniformity across markets. Monthly sector returns are cross-sectionally regressed on the attributes in a similar fashion to Fama and MacBeth (1973). Sector returns are considered both before and after risk adjustment with the Capital Asset Pricing Model (CAPM), the Arbitrage Pricing Theory (APT) model and Solnik's (2000) version of the International CAPM (ICAPM). The ICAPM is found to be the best performing model but, in general, the evidence does not support covariance-based models of asset pricing. Nine attributes are found to be significant and robust over the two sample periods namely cash earnings per share to price (CP), dividend yield (DY), cash earnings to book value (CB), 6 and 12-month growth in cash earnings, to price (C-6P & C-12P), 12 and 24-month growth in dividends, to price (D-12P & D-24P), the payout ratio (PO) and 12-month prior return (MOM-12). All the significant attributes from the univariate regression tests are found to payoff consistently in the positive direction when tested with the nonparametric Sign Test. Nine of the significant attributes namely book value per share to price (BP), dividend yield (DY), earnings yield (EY), 6-month growth in cash earnings, to price (C-6P), cash earnings to book value (CB), 24-month growth in dividends, to price (D-24P), 24-month growth in earnings, to price (E-24P), 12-month and 18-month prior return (MOM-12 & MOM-18) are also found to have significantly low frequencies of changes in payoff direction when assessed with the nonparametric Runs Test. Seven style timing models are developed, all of which produce significantly accurate payoff direction forecasts for most of the significant attributes. The timing models are however generally inaccurate in forecasting the magnitude of the payoffs. Very little seasonality is observed in the payoffs to the significant attributes. Two sets of seven 'stepwise optimal' and 'control' multivariate models are constructed from the significant univariate in-sample attributes in order to forecast the payoffs to the factors in a controlled multifactor setting. The stepwise optimal models are derived from a stepwise procedure, whilst the 'control' models comprise all the attributes which are found to be significant in one or more of the 'optimal' models. The forecasting power of the all the models is found to be below an exploitable level; of the 'control' models the single exponential smoothing model is the most accurate outsample performer. Weighted Least Squares (WLS) models are used to allow for the possibility of heteroskedasticity, which may exist in the cross-section of worldwide sector returns. The WLS models are ineffective in improving forecasting power when the inverse of the 12-month rolling standard deviation of the residuals is used as the weight series.
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Simpson, Lori Allison. "The suitability of coal gasification in India's energy sector." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/38569.

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Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2006.<br>Includes bibliographical references (p. 83-86).<br>Integrated Gasification Combined Cycle (IGCC), an advanced coal-based power generation technology, may be an important technology to help India meet its future power needs. It has the potential to provide higher generating efficiency, can be adapted to efficiently burn India's high-ash coal, and has the potential to do so with greatly reduced emissions and offers the longer term potential to assist India to manage its C02 emissions. Efficient gasification technology also offers India the potential to produce a variety of fuels, particularly transportation fuels, and chemicals. These potential benefits would be useful in a country that has coal shortages, runs inefficient power plants, and imports the majority of its transportation fuels. Driven by these potential benefits the Central Government-owned power generating equipment manufacturing company (BHEL) is developing a fluid-bed gasifier designed for Indian coals, but has not yet demonstrated it at a size larger than 6 MW. Outside of BHEL, there are many factors holding this technology back. First, the technology is projected to be more expensive than pulverized coal (PC) power generation. In the Indian environment, the capital costs are estimated to be 1.5 times higher, and the levelized cost of electricity is estimated to be 33 % higher than for PC power generation.<br>(cont.) Further, there are other technology options, such as super-critical pulverized coal technology, which are cheaper, more proven, and can provide immediate higher generating efficiency. The first supercritical PC plant is currently being built in India. To overcome these barriers will take further research and development, as well as demonstration at a commercial scale. This all needs to occur at a greater speed and with a greater urgency than is now apparent. The demonstration and commercialization will require significant subsidies, which may come in different forms. The Central Government may wish to subsidize the technology development for the pollution control benefits that it offers and do so via its linkages to BHEL. Foreign governments and institutions may choose to subsidize the costs for the carbon dioxide reduction credits that it can produce. In the end, the challenges facing IGCC in India are great. The cost and generating efficiency will have to at least rival those for other advanced coal technologies, and coal production and mining policies will have to be effectively enacted to increase the supply of coal available for new coal plants.<br>by Lori Allison Simpson.<br>S.M.
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Bylund, Månsson Gottfrid, and Anton Erlandsson. "The Relationship Between Macroeconomic Variables and Sector Indices : An empirical investigation of the Swedish stock market." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-448712.

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This study hypothesizes a relationship between different stock market sector indicesand their relationship to macroeconomic variables. Previous studies investigates therelationship between broad stock market indices and macroeconomic variables, with fewresearching stock market sector indices. Our results show that inflation, exchange rate,money supply, industrial production, and long-term interest rate have a significant long-run relationship with the Basic Material, Consumer Product and Service, Financial andIndustrial sector indices. We find that the Real estate, Health care, and Technologysector indices do not have a long-term relationship with macroeconomic variables. Wealso test for unexpected changes in the macro variables to see how this may affectthe long-term relationships. Here, we find that the Financial sector and Technologysector responds poorly to shocks in the macroeconomic variables and that the long-termrelationship may not return to its equilibrium if shocks to the macroeconomic variables occur.
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Nguyen, Minh Khoi. "Study on Property Indices : Constructing a property price index for the family apartment sector in Hanoi, Vietnam." Thesis, KTH, Bygg- och fastighetsekonomi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-77020.

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In modern portfolio theory, real estate can reduce substantially the total risk in a portfolio. Therefore, a flaw in the aggregate real estate index would cause a tremendous consequence for all the stakeholders in the industry. In general, there are two major approaches in producing property indices: the appraisal-based and the transaction-based approach. The transaction-index approach is more statistical or econometric in nature, tending therefore to be more formally explicit and objective or transparent in its application procedure. Hedonic regression model is considered as the most suitable for constructing cross-sectional quality adjusted house price indices. The author thus has chosen the hedonic regression model in the empirical part as the opponent method against the Official method, the one which is adopted by the Ministry of Construction of Vietnam. The results show the Official index has a different pattern compared to the indices derived from hedonic and other models. Due to the limitation and constraints during the research period, this study does not attempt to argue for which method is more appropriate than the others, but it does provide the recommendations for the better performance of those index series in the future research.
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Bezbaruah, Supriti. "Gender inequalities in India's new service economy : a case study of the banking sector." Thesis, Queen Mary, University of London, 2012. http://qmro.qmul.ac.uk/xmlui/handle/123456789/2479.

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This study explores women’s experiences of work and employment in the banking sector in India, addressing the paucity of research in this area. The research assesses how the assumptions of theories on gender, work and employment, primarily based on empirical experiences from the Global North can be interpreted in the Indian context. It argues that experiences of gender inequalities are geographically reconfigured in the Indian banking sector through the interplay between gendered organisational practices, local cultural discourses on femininity, institutional factors, particularly government laws and organisational structures. The research draws upon a case study of the banking sector in the National Capital Region (NCR), one of India’s largest consumer financial centres, combining a questionnaire survey of 156 female bank employees with 74 qualitative interviews with female and male bank employees in three types of banks. The study uncovers how gender discrimination, albeit covertly, is widespread in Indian banks. Gendered organisational practices create universal constraints for Indian women’s career development. This study, however, reveals how local cultural discourses on femininity, emphasising respectability and family values lead to distinctively Indian patterns of gender inequalities in the banking sector serving to highlight the intersection of gender with class identities. Crucially, the comparison of government-owned, foreign-owned and Indian private banks demonstrates that local cultural norms and gendered organisational practices are mediated through different organisational structures to create varied experiences of gender discrimination for women in the different banks. Finally, the study provides new conceptual perspectives for addressing the limitations of existing theorisations on gender, work and employment. It develops the concept of ‘family-based femininity’ highlighting the influence of the family in shaping the nature of gender inequalities in the workplace. Where previous typologies focused on resistance in the workplace, this research introduces the notion of ‘compliance in the workplace’, whereby women passively conform to gendered organisational practices, with little intention to create change.
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Subramanian, Logakanthi. "Management of electronic waste by bulk consumers : the case of India's IT service sector." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/management-of-electronic-waste-by-bulk-consumers-the-case-of-indias-it-service-sector(e6df8705-d9cc-456d-b078-c35f8cb3aaaf).html.

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The global ICT revolution is adding a new stream of waste, known as electronic waste or ‘e-waste’: electrical and electronic equipment that has ceased to be of value to its owners. The recyclability of e-waste together with the presence of pollutants poses a waste management challenge. Developed countries have systems in place to address this challenge, but developing countries have only recently recognised the need to develop appropriate systems for e-waste management. ICT consumers are key stakeholders in e-waste: it is they who decide whether and when an item is e-waste, and they form the link between producers and recyclers. Yet not much attention has been paid to their role. The limited research to date has focused on household consumers in developed countries, leaving a knowledge gap around bulk, organisational consumers in developing countries, despite their often being the largest single contributor to e-waste. Acknowledging the growing challenge of e-waste management in developing countries and lack of research on bulk consumer response to this challenge, the present research aimed to understand e-waste material flows, management strategies and determinants relating to bulk consumers of IT in India. It focused on bulk consumers in India’s IT service sector because that sector depends on electronic equipment for its operation and has been recognised to generate nearly 30% of the total e-waste in the country. The data for this research was collected between 2010 and 2011, at a time when preparations were underway for implementation of separate e-waste regulations in the country. Therefore, the findings of the research here draw attention to the practice for e-waste management in India before implementation of the new regulations. In order to achieve the overall aims, a qualitative research approach based on multiple case studies was adopted. In all, 20 IT service organisations belonging to three different groups based on size namely, very large (VL), large (L) and small and medium (SM) were studied via multiple semi-structured interviews, direct observations and document analysis. Further source triangulation was achieved through interviews with representatives from other stakeholder groups: IT equipment producers, formal recyclers, regulators, industry association representatives, and representatives of various national and international organisations working on e-waste management. A complex chain of material flow was identified, involving a significant number of stakeholders. Two further models – of e-waste strategy and e-waste strategy determinants – were developed through literature review and pilot fieldwork, and then verified via the main fieldwork. Three distinct types of e-waste management strategy were observed among the stakeholders. While the VLIT organisations and IT producers exhibited a proactive approach to e-waste management, the LIT organisations and formal recyclers exhibited a reactive approach to its management. The SMIT organisations ignored the challenge of e-waste and were indifferent to the management of generated e-waste. Various external (regulation, clients, peer pressure, brand and corporate reputation) and internal (corporate culture and leadership, financial benefits and corporate social responsibility) factors were found to play a role in determining the different types of e-waste management practiced by the stakeholders. Except for direct financial benefits all the identified factors had a strong determining role in the proactive approach to e-waste management. The reactive approach was chiefly driven by regulation and financial benefits associated with e-waste management. The indifferent approach was driven only by the financial benefits associated with disposal of e-waste. A key determinant that was shaping the factors among the IT bulk consumers was institutional pressures mainly driven by the requirement of some clients for green practices; that requirement itself deriving from the nature of the value chains within which consumer organisations were located. Alongside the determinants, a set of enabling factors was identified (awareness, environmental management systems, and access and availability of formal recyclers) which helped explain the implementation of e-waste management practices. When the levels of these enablers were high the implementation of organisational e-waste management was proactive and when they were low, the approach to e-waste management was reactive. These enablers were absent in the organisations that were indifferent to e-waste management. From these findings, various challenges in the current system for e-waste management could be identified including: value expectation at the time of disposal of e-waste; patchy awareness about e-waste; lack of collection mechanisms; and regulatory shortcomings. Recommendations have been made about opportunities to incentivise and facilitate collection, enhance awareness, and offer regulatory support.
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Roland, Christian. "Banking sector liberalization in India evaluation of reforms and comparative perspectives on China." Heidelberg Physica-Verl, 2006. http://d-nb.info/984703098/04.

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Books on the topic "Sectoral Indices"

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1943-, Mukherji Indra Nath, ed. India's external sector reforms. Oxford University Press, 2001.

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N.I.U.A. (Organization : India), ed. India's urban sector profile. National Institute of Urban Affairs, 1998.

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Shankar, Saxena Sada, ed. Thrust sectors in India's exports. Commonwealth Publishers, 1990.

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Consulting, Anderson, Indian Institute of Management, Lucknow., and Indian Institute of Technology (Madras, India), eds. India's manufacturing sector: Policy framework. Academic Foundation, 2003.

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Power, India Ministry of, ed. Reports on India's power sector. Academic Foundation, 2003.

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author, Simaran Kaur, and Export-Import Bank of India, eds. India's services sector: An analysis. Export-Import Bank of India, 2016.

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author, Simaran Kaur, and Export-Import Bank of India, eds. India's services sector: An analysis. Export-Import Bank of India, 2016.

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Dana, Leo-Paul, and Naman Sharma, eds. Entrepreneurship in India's Unorganized Sector. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4313-4.

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Suri, Kamala. India's external sector: A statistical compendium. MVIRDC World Trade Centre, 1996.

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Landes, Maurice. India's poultry sector: Development and prospects. U.S. Dept. of Agriculture, Economic Research Service, 2004.

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Book chapters on the topic "Sectoral Indices"

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Broadstock, David, and George Filis. "Energy Prices, Sectoral Indices and Regulation." In Energy Technology and Valuation Issues. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13746-9_3.

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Lekha Shree, S., A. Amudha, M. K. Baby, and K. Dhivya Bharathi. "Impact of Select Companies from Information Technology Sectoral Indices." In Studies in Systems, Decision and Control. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-63569-4_5.

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Vigg Kushwah, Silky, and Pushpa Negi. "Predicting the Impact of Exchange Rate Volatility on Sectoral Indices." In Data-Driven Modelling and Predictive Analytics in Business and Finance. Auerbach Publications, 2024. http://dx.doi.org/10.1201/9781032618845-12.

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Maji, Giridhar, Soumya Sen, and Amitrajit Sarkar. "Share Market Sectoral Indices Movement Forecast with Lagged Correlation and Association Rule Mining." In Computer Information Systems and Industrial Management. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59105-6_28.

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Lekha, Shree S., and K. Kanniammal. "Impact of Sectoral Indices on the Price of Selected Banking Companies Listed in NSE." In Perspectives in Finance and Digital Transformations in Business. Routledge India, 2024. http://dx.doi.org/10.4324/9781003470229-18.

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Verma, Ruchita, Dhanraj Sharma, and Heavendeep Singh. "Day-of-week-effect in stock market of India: A case study of sectoral indices." In Advances in Management Research. Routledge, 2022. http://dx.doi.org/10.4324/9781003366638-13.

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Bhat, P. Ananth Alias Rohith, Prakash Pinto, Iqbal Thonse Hawaldar, and B. Shakila. "Dynamics of Return and Volatility Interactions between Exchange Rates and NSE Sectoral Indices: A Comparative Analysis Pre and Post COVID-19 Pandemic." In Studies in Big Data. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83911-5_37.

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Shetty, Kashvi U., and Pranjal Mishra. "India's educational sector." In The New Digital Education Policy Landscape. Routledge, 2023. http://dx.doi.org/10.4324/9781003373018-4.

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Chaudhuri, Tamal Datta. "India's Energy Sector." In The Indian Economy @ 75. Routledge India, 2024. http://dx.doi.org/10.4324/9781003416074-27.

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Jha, Raghbendra. "India’s Service Sector." In Facets of India's Economy and Her Society Volume II. Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95342-4_3.

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Conference papers on the topic "Sectoral Indices"

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Roy, Sahajaunna, Abdul Hameed, Amrin Samar Sultana, and Rekha R. Nair. "Risk and Return Analysis of Prominent Sectoral Indices of NSE and NIFTY 50." In 2025 International Conference on Data Science and Business Systems (ICDSBS). IEEE, 2025. https://doi.org/10.1109/icdsbs63635.2025.11031781.

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Murugan, Vasundra, Sumit Jangale, Prasenjeet Gangawane, Nidhi Gupta, Prasanna Sonawane, and Anil Jadhav. "Predicting Sector Indices Using Machine Learning: A Comprehensive Analysis Incorporating Macroeconomic Indicators." In 2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE). IEEE, 2025. https://doi.org/10.1109/iitcee64140.2025.10915308.

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Kholiya, Deepak, Neeraj Kumar Pandey, Amit Kumar Mishra, and Manoj Diwakar. "Comprehensive Analysis of Social Responsibility in India's Agriculture Sector." In 2024 13th International Conference on System Modeling & Advancement in Research Trends (SMART). IEEE, 2024. https://doi.org/10.1109/smart63812.2024.10882565.

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Sen, Ranjan K., and Bulbul Sen. "Network of Village Universities for Development of India's Rural Sector." In 2024 IEEE Global Humanitarian Technology Conference (GHTC). IEEE, 2024. https://doi.org/10.1109/ghtc62424.2024.10771520.

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Jain, Lokesh, Aparna Pavani S, Amrin Samar Sultana, and Rekha R. Nair. "Profitability Patterns in India's Private Insurance Sector: a Comprehensive Analysis*." In 2025 International Conference on Data Science and Business Systems (ICDSBS). IEEE, 2025. https://doi.org/10.1109/icdsbs63635.2025.11031527.

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Sarkar, Pratik, Saibal Chatterjee, and Rajeeb Dey. "Sustainable Future for India's Power Sector Through Smart Grid and Microgrid Initiatives." In 2024 IEEE 3rd International Conference on Electrical Power and Energy Systems (ICEPES). IEEE, 2024. http://dx.doi.org/10.1109/icepes60647.2024.10653482.

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Rajini, G. "Leveraging Gamification for Enhanced Talent Assessment in India’s Science and Technology Sector." In 2024 2nd International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT). IEEE, 2024. https://doi.org/10.1109/icaiccit64383.2024.10912311.

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Chojnicka, Paulina, Ivar Björnsson, Leandro Iannacone, and Oskar Larsson Ivanov. "A study on the history of imposed loads in building codes in Sweden." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.1052.

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&lt;p&gt;A necessary foundation for realizing circularity in the building sector is a good understanding of our existing building stock. This includes the design approaches and building codes used at the time of construction. The provisions in building codes have evolved from a heuristically adjusted permissible stress method to a semi-probabilistic safety format using partial safety factors. In addition, the focus has historically been on developing resistance models based on measurements and tests, whereas load models have received comparatively less attention. This study explores the Swedish codes from 1947 to the present day. Design methods are compared, accounting for differences in imposed loading provisions and developments in material specifications over time. The evolution of structural safety, in terms of reliability indices, is then estimated based on simple examples. The results indicate that the reliability indices have decreased over time in the case of simple beams.&lt;/p&gt;
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Avşar, İlker İbrahim. "Delivery by Drone: A Bibliometric Analysis." In 25th International Joint Conference Central and Eastern Europe in the Changing Business Environment. Vydavateľstvo EKONÓM, 2025. https://doi.org/10.53465/ceecbe.2025.9788022552257.21-35.

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The world is living in an era of rapid technological development. This rapid evolution is having a profound impact on the business world, forcing many sectors to keep pace with change. Technological innovation is essential for efficiency, sustainability and competitiveness. One of the most prominent areas in this context is drone technology. Drones are attracting attention for both military and civilian applications, and one of the most important applications is drone delivery. This innovative mode of transport is being discussed by many sectors due to the benefits it offers and the risks it poses. In this study, a bibliometric analysis method was used to explore the issue of drone delivery in more depth. For the analysis, the Scopus database was searched and the publications obtained were evaluated using bibliometric methods such as basic statistics such as distribution by years and clustering relationships between words. The data used in the study covers the years 2012-2025, which shows that drone delivery is a relatively new area of research. However, the 1038 academic publications obtained show that interest in the topic is quite high. These publications appear in a total of 538 different sources and 2780 different researchers are working on drone delivery. In addition, the rate of international collaboration among authors is 22.45%. This rate indicates significant potential for collaboration for academics wishing to conduct research on a global scale. This review is a valuable resource for both researchers and policymakers, providing important insights into the field of drone delivery. At the same time, it contributes to the literature by highlighting general trends in the drone delivery sector.
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Kalpana, G., P. Jagadeesan, and P. Balaji. "Impact of fiison selected sectoral indices in India." In INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ELECTRONICS AND COMMUNICATION ENGINEERING - 2023. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0212574.

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Reports on the topic "Sectoral Indices"

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Ludeña, Carlos E., and Sang Won Yoon. Local Vulnerability Indicators and Adaptation to Climate Change: A Survey. Inter-American Development Bank, 2015. http://dx.doi.org/10.18235/0009259.

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The purpose of this paper is to evaluate interdisciplinary research on vulnerability indexes to climate change. The paper presents a systematized analysis of recent literature on agriculture, coastal areas, water resources, forests and health sectors. The paper examines in particular different aspects of vulnerability indexes to climate change, and emphasizes the importance of deriving vulnerability measures from sector-specific local studies after comparison of various types of sector-specific local institutional arrangement as coping strategies to mitigate climate impacts. The paper also explores possibilities to propose sectoral indices that can be applied systematically at the local level for the practitioners. The survey paper tries to provide pertinent background information regarding the choice of influential variables in the design of field studies and suggests future direction of in-depth empirical research on vulnerability to climate change.
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Daudelin, Francois, Lina Taing, Lucy Chen, Claudia Abreu Lopes, Adeniyi Francis Fagbamigbe, and Hamid Mehmood. Mapping WASH-related disease risk: A review of risk concepts and methods. United Nations University Institute for Water, Environment and Health, 2021. http://dx.doi.org/10.53328/uxuo4751.

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The report provides a review of how risk is conceived of, modelled, and mapped in studies of infectious water, sanitation, and hygiene (WASH) related diseases. It focuses on spatial epidemiology of cholera, malaria and dengue to offer recommendations for the field of WASH-related disease risk mapping. The report notes a lack of consensus on the definition of disease risk in the literature, which limits the interpretability of the resulting analyses and could affect the quality of the design and direction of public health interventions. In addition, existing risk frameworks that consider disease incidence separately from community vulnerability have conceptual overlap in their components and conflate the probability and severity of disease risk into a single component. The report identifies four methods used to develop risk maps, i) observational, ii) index-based, iii) associative modelling and iv) mechanistic modelling. Observational methods are limited by a lack of historical data sets and their assumption that historical outcomes are representative of current and future risks. The more general index-based methods offer a highly flexible approach based on observed and modelled risks and can be used for partially qualitative or difficult-to-measure indicators, such as socioeconomic vulnerability. For multidimensional risk measures, indices representing different dimensions can be aggregated to form a composite index or be considered jointly without aggregation. The latter approach can distinguish between different types of disease risk such as outbreaks of high frequency/low intensity and low frequency/high intensity. Associative models, including machine learning and artificial intelligence (AI), are commonly used to measure current risk, future risk (short-term for early warning systems) or risk in areas with low data availability, but concerns about bias, privacy, trust, and accountability in algorithms can limit their application. In addition, they typically do not account for gender and demographic variables that allow risk analyses for different vulnerable groups. As an alternative, mechanistic models can be used for similar purposes as well as to create spatial measures of disease transmission efficiency or to model risk outcomes from hypothetical scenarios. Mechanistic models, however, are limited by their inability to capture locally specific transmission dynamics. The report recommends that future WASH-related disease risk mapping research: - Conceptualise risk as a function of the probability and severity of a disease risk event. Probability and severity can be disaggregated into sub-components. For outbreak-prone diseases, probability can be represented by a likelihood component while severity can be disaggregated into transmission and sensitivity sub-components, where sensitivity represents factors affecting health and socioeconomic outcomes of infection. -Employ jointly considered unaggregated indices to map multidimensional risk. Individual indices representing multiple dimensions of risk should be developed using a range of methods to take advantage of their relative strengths. -Develop and apply collaborative approaches with public health officials, development organizations and relevant stakeholders to identify appropriate interventions and priority levels for different types of risk, while ensuring the needs and values of users are met in an ethical and socially responsible manner. -Enhance identification of vulnerable populations by further disaggregating risk estimates and accounting for demographic and behavioural variables and using novel data sources such as big data and citizen science. This review is the first to focus solely on WASH-related disease risk mapping and modelling. The recommendations can be used as a guide for developing spatial epidemiology models in tandem with public health officials and to help detect and develop tailored responses to WASH-related disease outbreaks that meet the needs of vulnerable populations. The report’s main target audience is modellers, public health authorities and partners responsible for co-designing and implementing multi-sectoral health interventions, with a particular emphasis on facilitating the integration of health and WASH services delivery contributing to Sustainable Development Goals (SDG) 3 (good health and well-being) and 6 (clean water and sanitation).
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Bhattacharyya, Subhes, Daniel Kerr, Nupur Ahuja, et al. All Change: Equitably Decarbonising India's Transportation Sector. The British Academy, 2022. http://dx.doi.org/10.5871/just-transitions-a-p/s-b.

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Bhattacharyya, Subhes, Daniel Kerr, Nupur Ahuja, et al. All Change: Equitably Decarbonising India's Transportation Sector. The British Academy, 2023. http://dx.doi.org/10.5871/just-transitions-a-p/s-b-tamil.

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Bhattacharyya, Subhes, Daniel Kerr, Nupur Ahuja, et al. All Change: Equitably Decarbonising India's Transportation Sector. The British Academy, 2023. http://dx.doi.org/10.5871/just-transitions-a-p/s-b-telugu.

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Bhattacharyya, Subhes, Daniel Kerr, Nupur Ahuja, et al. All Change: Equitably Decarbonising India's Transportation Sector. The British Academy, 2023. http://dx.doi.org/10.5871/just-transitions-a-p/s-b-bengali.

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Bhattacharyya, Subhes, Daniel Kerr, Nupur Ahuja, et al. All Change: Equitably Decarbonising India's Transportation Sector. The British Academy, 2023. http://dx.doi.org/10.5871/just-transitions-a-p/s-b-hindi.

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Bhattacharyya, Subhes, Daniel Kerr, Nupur Ahuja, et al. All Change: Equitably Decarbonising India's Transportation Sector. The British Academy, 2023. http://dx.doi.org/10.5871/just-transitions-a-p/s-b-malayalam.

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Ghani, Ejaz, Arti Grover Goswami, and William Kerr. Is India's Manufacturing Sector Moving Away From Cities? National Bureau of Economic Research, 2012. http://dx.doi.org/10.3386/w17992.

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Rose, Amy, Ilya Chernyakhovskiy, Joseph Palchak, Samuel Koebrich, and Mohit Joshi. Least-Cost Pathways for India's Electric Power Sector. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1659816.

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