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Journal articles on the topic 'Financial index'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Tyshchenko, Lesia, and Atilla Csajbok. "A Financial Stress Index for Ukraine." Visnyk of the National Bank of Ukraine, no. 240 (June 25, 2017): 5–13. http://dx.doi.org/10.26531/vnbu2017.240.005.

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In this paper, we develop a daily Financial Stress Index (FSI) for the comprehensive quantitative measurement of the degree of stress in Ukraine’s financial system. We use 14 individual indicators grouped into four sub-indices – the banking sector, corporate debt, government debt, and the foreign exchange market – to construct the FSI. The index measures the level of stress and vulnerability of the financial sector and enables to compare this level at current moment with its dynamic in the past. The FSI can signal the start of a financial crisis and can be used to assess the effectiveness of a

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2

Alamelu, K., and S. Sankaramuthukumar. "Financial Inclusion Index." Indian Economic Journal 60, no. 2 (2012): 38–56. http://dx.doi.org/10.1177/0019466220120204.

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3

KengHsin Lo, YenChang Chen, and Yi Wei Chuang. "Financial Crisis and Financial Index Structure Break." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 5, no. 1 (2013): 516–21. http://dx.doi.org/10.4156/aiss.vol5.issue1.64.

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4

Orsagh, Matthew. "Financial Market Integrity Index." CFA Institute Magazine 18, no. 3 (2007): 33. http://dx.doi.org/10.2469/cfm.v18.n3.4671.

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5

Umar, Azwar Iskandar. "INDEX OF SYARIAH FINANCIAL INCLUSION IN INDONESIA." Buletin Ekonomi Moneter dan Perbankan 20, no. 1 (2017): 99–126. http://dx.doi.org/10.21098/bemp.v20i1.726.

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This paper calculates and analyzes the Index of Syariah Financial Inclusion (ISFI) covering three dimensions; the accessibility, the availability and the usage of Islamic banking services. Using the annual data in province level in Indonesia during the period of 2010-2015, this paper found that the Index of Syariah Financial Inclusion is generally low and Bangka Belitung is the most financially inclusive province of Indonesia. Furthermore, the results show that the Index of Syariah Financial Inclusion is positively correlated with the Human Development Index. This conclusion suggests the promo

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Babar, Sadia, Rashid Latief, Sumaira Ashraf, and Sania Nawaz. "Financial Stability Index for the Financial Sector of Pakistan." Economies 7, no. 3 (2019): 81. http://dx.doi.org/10.3390/economies7030081.

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This study aims to develop a financial stability index for the Pakistani financial sector by using the financial reports for the period of 2001–2011. Specifically, we constructed three different classes of indices in this study based on a variance-equal weighted approach, a linear probability approach, and a logistic approach. We also assessed the prediction accuracy of the financial stability index. All indices indicated that profitability, liquid liability to the liquid asset, non-performing loan, uncovered liabilities, interest spread and inter-fund to liquid liabilities variables contribut

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7

Ovcharov, A. О., and V. A. Matveev. "Financial Fear Index in the Digital Financial Assets Market." Finance: Theory and Practice 25, no. 4 (2021): 136–51. http://dx.doi.org/10.26794/2587-5671-2021-25-4-136-151.

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The relevance of the research topic is due to the increasing role of non-traditional financial instruments that contribute to financial instability. Therefore, various indicators are required to reflect the situation in the digital financial assets market, the volatility quotes, and the level of investor confidence. The aim of the study is to develop and test on empirical data a generalized indicator of financial instability (financial fear index) in the digital financial assets market. The novelty of the research lies in the adaptation of the classic model of building the volatility index to

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8

Orsagh, Matthew. "Financial Market Integrity Index Findings." CFA Institute Magazine 21, no. 3 (2010): 26. http://dx.doi.org/10.2469/cfm.v21.n3.13.

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9

Mielus, Piotr. "Financial Market Index Reform Dilemmas." Gospodarka Narodowa 284, no. 4 (2016): 91–114. http://dx.doi.org/10.33119/gn/100780.

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10

EKİNCİ, Aykut. "Financial Stress Index for Turkey." Doğuş Üniversitesi Dergisi 2, no. 14 (2013): 213–29. http://dx.doi.org/10.31671/dogus.2018.107.

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11

Monin, Phillip. "The OFR Financial Stress Index." Risks 7, no. 1 (2019): 25. http://dx.doi.org/10.3390/risks7010025.

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We introduce a financial stress index that was developed by the Office of Financial Research (OFR FSI) and detail its purpose, construction, interpretation, and use in financial market monitoring. The index employs a novel and flexible methodology using daily data from global financial markets. Analysis for the 2000–2018 time period is presented. Using a logistic regression framework and dates of government intervention in the financial system as a proxy for stress events, we found that the OFR FSI performs well in identifying systemic financial stress. In addition, we find that the OFR FSI le

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12

Gurčík, Ľ. "G-index – the financial situation prognosis method of agricultural enterprises." Agricultural Economics (Zemědělská ekonomika) 48, No. 8 (2012): 373–78. http://dx.doi.org/10.17221/5338-agricecon.

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13

Damilola Ilesanmi, Kehinde, and Devi Datt Tewari. "Developing a Financial Stress Index for the Nigerian Financial System." African Journal of Business and Economic Research 14, no. 3 (2019): 135–57. http://dx.doi.org/10.31920/1750-4562/2019/14n3a7.

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14

Malkina, M. Yu, and A. O. Ovcharov. "Financial Stress Index as a Generalized Indicator of Financial Instability." Financial Journal, no. 3 (2019): 38–54. http://dx.doi.org/10.31107/2075-1990-2019-3-38-54.

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15

O. Al-Smadi, Mohammad. "The role of financial inclusion in financial stability: lesson from Jordan." Banks and Bank Systems 13, no. 4 (2018): 31–39. http://dx.doi.org/10.21511/bbs.13(4).2018.03.

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This study aims to examine the relationship between financial inclusion and financial stability in Jordan by using Fully Modified Least Squares (FMOLS) technique. The analysis is based on time series from 2006 to 2017. Jordanian financial inclusion index is developed to assess the level of financial inclusion, whereas financial stability was measured by Jordanian financial stability index proposed by Central Bank of Jordan. The results show a weak significant and positive impact of financial inclusion on the financial stability in Jordan. Additionally, five control variables are used in the st

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16

Goel, Anusha. "Financial Inclusion." International Journal of Applied Behavioral Economics 9, no. 4 (2020): 33–57. http://dx.doi.org/10.4018/ijabe.2020100103.

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Financial inclusion is a contemporary issue that has featured in the reforms agenda of several countries. Although it has gained momentum over time, the access to finance and basic financial services remained highly skewed across demographic and geographic segments. The purpose of the study is to analyse the performance of states/union territories in each dimension and composite index of financial inclusion. The focus is on ranking Indian states and union territories, identifying the major changes in ranks during 2000-01 to 2016-17, and finding the rate of expansion. The index of financial inc

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17

Pu, Chengyi, Yueyun (Bill) Chen, and Xiaojun Pan. "Weather indexes, index insurance and weather index futures." Insurance Markets and Companies 9, no. 1 (2018): 32–40. http://dx.doi.org/10.21511/ins.09(1).2018.04.

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This paper compares the weather insurance, weather index insurance and index futures and focuses on why China needs to develop weather indexes and adopt and trade weather index futures. It further discusses how to construct the indexes and futures and how to price them. Different from the Heating Degree Days (HDDs) and Cooling Degree Days (CDDs) used at Chicago Mercantile Exchange (CME), it develops the Extremely Heating Days (EHDs) and Extremely Cooling Days (ECDs) to derive relevant temperature-based weather index futures. Recently China has started using weather index insurance to cover far

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18

Tri Junarso. "AI Based Financial System: The Way Financial Matrix Dan Braille Index Improve Financial Reporting." Jurnal Sistem Cerdas 1, no. 1 (2018): 58–72. http://dx.doi.org/10.37396/jsc.v1i1.7.

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Perlu terobosan supaya akuntansi dapat diakses dengan mudah baik oleh akuntan maupun Non Akuntan. Penulis terinspirasi bagaimana seorang tunanetra mampu membaca, padahal mereka tidak dapat melihat apappun karena buta. Dengan huruf Braille, mata mereka “dijembatani” untuk membaca atau menulis.AI based accounting adalah sistem akuntansi yang memiliki senyawa kecerdasan buatan (artificial intelligence), yang dapat dioperasikan di segala waktu, cuaca dan tempat karena tersambung pada internet. Dengan AI, sistem akuntansi ini dilengkapi algoritma dan pemrograman yang memungkinkan seorang yang buta

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19

Rahadi, Raden Aswin, Karina Aditya, and Sylviana Maya Damayanti. "Financial capability and financial informations effect on the financial literacy index among Indonesian workers." International Journal of Economic Policy in Emerging Economies 1, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijepee.2021.10040898.

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20

Manning, Jonathan, and Maral Shamloo. "A Financial Conditions Index for Greece." IMF Working Papers 15, no. 220 (2015): 1. http://dx.doi.org/10.5089/9781513520230.001.

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21

Ho, Giang, and Yinqiu Lu. "A Financial Conditions Index for Poland." IMF Working Papers 13, no. 252 (2013): 1. http://dx.doi.org/10.5089/9781475540642.001.

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22

Hanivan, Hilman, and Nasrudin Nasrudin. "A FINANCIAL INCLUSION INDEX FOR INDONESIA." Buletin Ekonomi Moneter dan Perbankan 22, no. 3 (2019): 351–66. http://dx.doi.org/10.21098/bemp.v22i3.1056.

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Numerous studies have constructed financial inclusion indexes for Indonesia, using amultidimensional approach. However, there is a problem with the methodology, whichassumes that all the dimensions play the same role in defining financial inclusion,since they are based on equal weighting criteria. This paper aims to obviate concernswith the methodology by developing a more empirically based index, namely, aweighted multidimensional index of financial inclusion based on two-stage principalcomponent analysis. In other words, we endogenize the weights. We find that usage isthe most important dime

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23

Esen, Sinan, and Korhan Gokmenoglu. "Financial Centres Index and GDP Growth." International Journal of Economics and Finance 8, no. 4 (2016): 198. http://dx.doi.org/10.5539/ijef.v8n4p198.

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This study investigates the relationship between financial centres index and GDP growth of 20 countries with the world’s largest GDP. In our sample each country is represented by just one financial centre. We tested many models through several panel approaches. Use of a fixed-effects model, fixed-effects (within) regression, random-effects GLS regression, random-effects ML regression, and empirical findings showed that the global financial centres index variable is highly statistically significant, and coefficients obtained from different estimations are very close to each other. Our findings

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24

Arzamasov, Vadim, and Henry Penikas. "A Financial Stability Index for Israel." Procedia Computer Science 31 (2014): 985–94. http://dx.doi.org/10.1016/j.procs.2014.05.351.

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25

Khundrakpam, Jeevan Kumar, Rajesh Kavediya, and Jessica M. Anthony. "Estimating Financial Conditions Index for India." Journal of Emerging Market Finance 16, no. 1 (2017): 61–89. http://dx.doi.org/10.1177/0972652716686273.

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This article constructs financial condition indices (FCIs) for India and explores their predictive ability of business cycle. The estimated FCIs indicate substantial tightening in financial conditions in India since the global financial crisis barring a brief phase during 2010–11. Unlike in the literature, it shows the importance of standardising the financial variables by removing the influence of unit of measurement and not purging the influence of past economic activity as that improves the forecasting ability of FCI about business cycle. In predicting GDP growth, principal component analys

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26

Ambarkhane, Dilip, Ardhendu Shekhar Singh, and Bhama Venkataramani. "Developing a Comprehensive Financial Inclusion Index." Management and Labour Studies 41, no. 3 (2016): 216–35. http://dx.doi.org/10.1177/0258042x16666579.

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27

Morales, Miguel A., and Dairo Estrada. "A financial stability index for Colombia." Annals of Finance 6, no. 4 (2010): 555–81. http://dx.doi.org/10.1007/s10436-010-0161-7.

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28

Koop, Gary, and Dimitris Korobilis. "A new index of financial conditions." European Economic Review 71 (October 2014): 101–16. http://dx.doi.org/10.1016/j.euroecorev.2014.07.002.

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29

Mota Aragón, Martha Beatriz. "Financial stress index in emerging markets." Análisis Económico 36, no. 92 (2021): 29–44. http://dx.doi.org/10.24275/uam/azc/dcsh/ae/2021v36n92/mota.

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30

Ali, M. Mahbubi, Muhammad Rizky Prima Sakti, and Abrista Devi. "DEVELOPING ISLAMIC FINANCIAL INCLUSION INDEX FOR ISLAMIC BANKS IN INDONESIA: A CROSS-PROVINCE ANALYSIS." Journal of Islamic Monetary Economics and Finance 5, no. 4 (2019): 691–712. http://dx.doi.org/10.21098/jimf.v5i4.1098.

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This study measures Islamic financial inclusion index in Indonesia based on three dimensions, namely: the accessibility, the availability, and the usage of Islamic banking services. Additionally, it also measures the relationship between Islamic financial inclusion index and human development index. The study found that the level of Islamic financial inclusion in Indonesia is relatively low at a national level. DKI Jakarta is the most financially inclusive province in Indonesia, followed by East Java and Nanggroe Aceh Darussalam. In contrast, East Nusa Tenggara has the lowest average of Islami

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31

Noh, Mee-Hyun. "Difference Analysis of Financial Performance using Financial Index in Banking Industry." Global Business Administration Review 9, no. 4 (2012): 181–206. http://dx.doi.org/10.17092/jibr.2012.9.4.181.

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32

Sanar, Faruk, and Mahmut Kara. "The Concept Of Financial Stability And Financial Stability Index For Turkey." Ekonomik Yaklasim 27, no. 101 (2016): 111. http://dx.doi.org/10.5455/ey.35950.

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33

Iskandar, Azwar, and Bayu Taufiq Possumah. "Inklusifitas Keuangan Syariah dan Kemiskinan di Indonesia." Nukhbatul 'Ulum 4, no. 2 (2018): 1–18. http://dx.doi.org/10.36701/nukhbah.v4i2.38.

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This paper aims at calculating and analyzing the Index of Syariah Financial Inclusion (ISFI) during the period of 2015-2018 and its correlation with poverty level in Indonesia. Using the secondary data of 33 provinces in Indonesia from Badan Pusat Statistik (BPS), Bank Indonesia and Otoritas Jasa Keuangan (OJK) and Index of Financial Inclusion (IFI) method, this paper found that the Index of Syariah Financial Inclusion is generally low and DKI Jakarta is the most financially inclusive province of Indonesia. Furthermore, the results show that the Index of Syariah Financial Inclusion is negative

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34

Noor, Muhammad, Finnah Fourqoniah, and Muhammad Fikry Aransyah. "Investigation of financial inclusions, financial literation, and financial technology in Indonesia." Jurnal Perspektif Pembiayaan dan Pembangunan Daerah 8, no. 3 (2020): 257–68. http://dx.doi.org/10.22437/ppd.v8i3.9942.

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The Indonesian Financial Services Authority (Otoritas Jasa Keuangan) states that the financial literacy increase will be followed by developing the financial inclusion index. Nevertheless, the level of public financial literacy is still far behind the financial inclusion index. Perpres No. 82 of 2016 concerning the National Inclusive Finance Strategy sets a target of 75% of the adult population to access financial services in 2019. As information technology develops and internet penetration rates rapidly emerge, digital financial services emerge that make it easier for people to obtain financi

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35

Abidi, Ilyes, Mariem Nsaibi, and Boutheina Regaieg. "Financial Stability of Islamic Finance." International Journal of Accounting and Financial Reporting 10, no. 1 (2020): 92. http://dx.doi.org/10.5296/ijafr.v10i1.16060.

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The aim of this paper is to study the stability of the Islamic financial system. To do this, we are interested in the scoring method and the volatility of stock market indices.The first empirical study includes all the components of the financial system, in particular, banks, insurance companies, leasing, factoring and investments companies.The results of this study suggest that, Islamic finance saw a loss of 0.014% of its stability score, in 2007, against 0.43% and 1.675% for conventional finance, respectively in 2007 and 2008. In contrast, during the period of the Arab revolutions only Islam

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36

Yusmia, Liza, and Abitur Asianto. "DETERMINANT ANALYSIS OF FINANCIAL SECTOR STOCK IN INDONESIA STOCKS EXCHANGE." Dinasti International Journal of Economics, Finance & Accounting 1, no. 5 (2020): 850–64. http://dx.doi.org/10.38035/dijefa.v1i5.621.

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These research had purposed to examine related to macroeconomic variables on financial sector stock index in Indonesia Stock Exchange. This research used Vector Error Correction Model (VECM) method with monthly data from financial sector stock index as the dependent variable and the GDP quarterly data, as well as monthly data on inflation, BI interest rates, exchange rates, the Fed interest rate, gold prices, oil prices,and also the S&P 500 index as independent variable with data range from January 2014 to August 2019. These results that obtained from this research were the shocks in BI in

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37

Foster, Benjamin T., Jordan D. Kern, and Gregory W. Characklis. "Mitigating hydrologic financial risk in hydropower generation using index-based financial instruments." Water Resources and Economics 10 (April 2015): 45–67. http://dx.doi.org/10.1016/j.wre.2015.04.001.

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38

Gumata, Nombulelo, Eliphas Ndou, and Nir Klein. "A Financial Conditions Index for South Africa." IMF Working Papers 12, no. 196 (2012): 1. http://dx.doi.org/10.5089/9781475505450.001.

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39

عطرکارروشن, صدیقه, and مطهره سادات محبوبی. "Financial Condition Index (FCI) Extraction for Iran." Journal of Research in Economic Modeling 6, no. 24 (2016): 147–73. http://dx.doi.org/10.18869/acadpub.jemr.6.24.147.

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40

Goel, Sweta, and Rahul Sharma. "Developing a Financial Inclusion Index for India." Procedia Computer Science 122 (2017): 949–56. http://dx.doi.org/10.1016/j.procs.2017.11.459.

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41

Gupte, Rajani, Bhama Venkataramani, and Deepa Gupta. "Computation of Financial Inclusion Index for India." Procedia - Social and Behavioral Sciences 37 (2012): 133–49. http://dx.doi.org/10.1016/j.sbspro.2012.03.281.

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42

Sadia, Haleema, Arshad Ali Bhatti, and Eatzaz Ahmad. "Developing a Financial Stress Index for Pakistan." Business & Economic Review 11, no. 4 (2019): 113–32. http://dx.doi.org/10.22547/ber/11.4.5.

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43

Demange, Gabrielle. "Contagion in Financial Networks: A Threat Index." Management Science 64, no. 2 (2018): 955–70. http://dx.doi.org/10.1287/mnsc.2016.2592.

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44

Cambón, Mª Isabel, and Leticia Estévez. "A Spanish Financial Market Stress Index (FMSI)." Spanish Review of Financial Economics 14, no. 1 (2016): 23–41. http://dx.doi.org/10.1016/j.srfe.2016.01.002.

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45

Tenreiro Machado, J., Fernando B. Duarte, and Gonçalo Monteiro Duarte. "Power Law Analysis of Financial Index Dynamics." Discrete Dynamics in Nature and Society 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/120518.

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Power law (PL) and fractional calculus are two faces of phenomena with long memory behavior. This paper applies PL description to analyze different periods of the business cycle. With such purpose the evolution of ten important stock market indices (DAX, Dow Jones, NASDAQ, Nikkei, NYSE, S&P500, SSEC, HSI, TWII, and BSE) over time is studied. An evolutionary algorithm is used for the fitting of the PL parameters. It is observed that the PL curve fitting constitutes a good tool for revealing the signal main characteristics leading to the emergence of the global financial dynamic evolution.

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46

Prorokowski, Lukasz. "Environmental Risk Index for financial services firms." Qualitative Research in Financial Markets 8, no. 1 (2016): 16–44. http://dx.doi.org/10.1108/qrfm-04-2015-0018.

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Purpose – This paper aims to provide an index benchmarking financial services firms against their environmental performance. The paper also introduces a new definition of the environmental risk that fits the current business and regulatory landscape of financial services firms. The Environmental Risk Index (ERI) helps financial services firms review their corporate social responsibility (CSR)/environmental and social governance (ESG) frameworks and address any shortcomings. With this in mind, every financial institution should understand that the Index is not primarily about the ranking, but a

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47

Jabeenm, Hummaira, and M. Nadeem Qureshi. "Financial Condition Index (FCI) for the Pakistan." Indian Journal of Science and Technology 12, no. 21 (2019): 1–8. http://dx.doi.org/10.17485/ijst/2019/v12i21/144089.

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48

Miziołek, Tomasz. "Index Providers in the Global Financial Market." Acta Universitatis Lodziensis. Folia Oeconomica 3, no. 335 (2018): 139–52. http://dx.doi.org/10.18778/0208-6018.335.10.

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Index providers are important participants of the contemporary global financial market. This group comprises of diverse entities – e.g. stock exchanges, financial institutions (particularly banks and asset management companies), analytical and research companies as well as financial data providers. The role of index providers increases primarily along with systematically growing importance of index investment instruments. Their decisions significantly affect the allocation of capital, mainly on a microeconomic and macroeconomic scale.

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49

Gajo, Marianne. "Dubai Financial Market lanciert ersten ESG-Index." Die Aktiengesellschaft 65, no. 11 (2020): r162. http://dx.doi.org/10.9785/ag-2020-651119.

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50

Ataei, Masoud, Shengyuan Chen, Zijiang Yang, and M. Reza Peyghami. "Theory and applications of financial chaos index." Physica A: Statistical Mechanics and its Applications 580 (October 2021): 126160. http://dx.doi.org/10.1016/j.physa.2021.126160.

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