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Journal articles on the topic 'Technical analysis (Investment analysis)'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Ms. D. Sandhya rani, Dr. T. Vara Lakshmi, and B. Adithya. "Technical Analysis: Exploring Technical Indicators." International Research Journal on Advanced Engineering and Management (IRJAEM) 2, no. 05 (2024): 1640–42. http://dx.doi.org/10.47392/irjaem.2024.0230.

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Technical analysis is a widely used method for evaluating financial markets and making investment decisions. This study explores the principles and techniques of technical analysis and its role in aiding investors to interpret market trends, identify patterns, and anticipate price movements. The analysis delves into various technical indicators such as moving averages, oscillators, and chart patterns, examining their effectiveness in predicting market behavior. Additionally, the study investigates the integration of technical analysis with other forms of analysis, such as fundamental analysis

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2

Mason, A. F., and D. J. Joubert. "Investment basics XXIII Technical analysis." Investment Analysts Journal 18, no. 32 (1989): 31–32. http://dx.doi.org/10.1080/10293523.1989.11082277.

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van de Ven-Glastra, M. J., J. Q. J. C. Verberk, R. Sonke, J. Dominicus, and A. Bindt. "Strategic scenario analysis of long-term asset management planning." Water Practice and Technology 12, no. 1 (2017): 48–54. http://dx.doi.org/10.2166/wpt.2017.009.

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Evides Waterbedrijf (Evides) has prepared a long term asset management plan (LTAP) for the 30 year to 2045 in relation to pending investments and future developments. Compilation of an LTAP is in the interests of both consumers and shareholders. Insights from the LTAP, as deduced from asset management practices, can be challenged against strategic decisions for the future. In addition, the LTAP can be used to predict long-term financial and technical resourcing requirements, as well as the resulting price for consumers and dividend for shareholders. In this paper the process of setting up an L

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Almeida, Luís, and Elisabete Vieira. "Technical Analysis, Fundamental Analysis, and Ichimoku Dynamics: A Bibliometric Analysis." Risks 11, no. 8 (2023): 142. http://dx.doi.org/10.3390/risks11080142.

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This article aims to contribute to the academic knowledge in the field of scientific production regarding decision support tools for investments in the capital market, specifically focusing on fundamental analysis, technical analysis, and Ichimoku dynamics. Bibliometric analysis, following the three main laws (Bradford’s Law, Lotka’s Law, and Zipf’s Law), was employed to evaluate scientific production, identify publication patterns, and uncover gaps and collaboration networks over the last thirty years. To achieve these objectives, 1710 relevant academic publications on the topic were analyzed

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Dourra, Hussein, and Pepe Siy. "Investment using technical analysis and fuzzy logic." Fuzzy Sets and Systems 127, no. 2 (2002): 221–40. http://dx.doi.org/10.1016/s0165-0114(01)00169-5.

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Metyakubov, A., and D. Matrizayeva. "Economic Analysis of Industrial Investment Management Efficiency." Bulletin of Science and Practice 6, no. 7 (2020): 251–56. http://dx.doi.org/10.33619/2414-2948/56/27.

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The paper analyses the issues related to main areas of efficacy of managing investment projects at enterprises of the construction materials industry in the conditions of diversification and increasing its investment attraction. The research team proposed recommendations on improving diversification of the structure of construction materials industry, wide attracting of foreign investments for modernization, technological and technical reequipping of enterprises of the branch and its export potential.

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Metyakubov, A., and D. Matrizayeva. "Economic Analysis of Industrial Investment Management Efficiency." Bulletin of Science and Practice 6, no. 7 (2020): 251–56. https://doi.org/10.33619/2414-2948/56/27.

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The paper analyses the issues related to the main areas of the efficacy of managing investment projects at enterprises of the construction materials industry in the conditions of diversification and increasing its investment attraction. The research team proposed recommendations on improving diversification of the structure of the construction materials industry, wide attracting of foreign investments for modernization, technological and technical reequipping of enterprises of the branch and its export potential.

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Van Huan, Nguyen, and Nguyen Thi Hang. "Combination technical between fundamental analysis and technical analysis to making investment decision in securities." International Journal of Recent Scientific Research 08, no. 04 (2017): 16485–89. http://dx.doi.org/10.24327/ijrsr.2017.0804.0157.

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Singh, Janpreet. "A Comparative Study of Technical vs. Fundamental Analysis in Stock Investment Decisions." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04025.

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Abstract: This research paper investigates the comparative effectiveness of technical and fundamental analysis as decision-making tools for stock market investments. Technical analysis relies on price patterns and market indicators, while fundamental analysis evaluates intrinsic value based on financial and economic data. Using a mixed-methods approach, this study incorporates both quantitative data from five NSE-listed companies over a five-year period (2019–2024) and primary data gathered through surveys of 50 retail investors and interviews with five financial analysts. The findings highlig

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Moksh, Parmar, Gupta Anita, Kumar Lucky, and Uday Kiran Cheripelly. "Analysis of Financial Investments." International Journal of Innovative Science and Research Technology (IJISRT) 9, no. 2 (2024): 9. https://doi.org/10.5281/zenodo.10731777.

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This research paper examines the financial performance and stock analysis of Motilal Oswal Financial Services Ltd. (MOFSL) and HDFC Asset  Management Company Ltd. (HDFCAMC) over a five- year period from 2018 to 2023. The study utilizes ratio  analysis, fundamental analysis, and technical analysis techniques to assess various aspects of the companies' profitability, liquidity, solvency, and efficiency. Findings indicate positive trends in profitability, liquidity, solvency, and efficiency ratios for both companies, reflecting their ability to generate income, manage costs, and utilize

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Filipović, Luka, Borjana Mirjanić, and Branko Ljutić. "Technical analysis investment in Ripple XRP digital currency." Serbian Journal of Engineering Management 3, no. 2 (2018): 51–59. http://dx.doi.org/10.5937/sjem1802051f.

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Johnston, Robert A., Daniel Sperling, Mark A. DeLuchi, and Steve Tracy. "Politics and technical uncertainty in transportation investment analysis." Transportation Research Part A: General 21, no. 6 (1987): 459–75. http://dx.doi.org/10.1016/0191-2607(87)90035-5.

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Parlagutan Pulungan, Dolly, Sugeng Wahyudi, Suharnomo Suharnomo, and Harjum Muharam. "Technical analysis testing in forecasting Socially Responsible Investment Index in Indonesia Stock Exchange." Investment Management and Financial Innovations 15, no. 4 (2018): 135–43. http://dx.doi.org/10.21511/imfi.15(4).2018.11.

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This study aims to examine whether the Autoregressive Integrated Moving Average (ARIMA) model is appropriate to be applied in the Indonesia Stock Exchange, especially for the socially resposible investment stocks. For the ARIMA model combines the autoregressive and moving average method, so it is viewed as a useful tool to predict the stock prices. Those methods are frequently used methods to forecast the stock prices. The data used in this study were daily SRI-KEHATI Index during the period of June 8, 2009 to July 17, 2017. The results showed that the daily SRI-KEHATI Index data were not stat

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Jarboui, Sami, Pascal Forget, and Younes Boujelben. "EFFICIENCY EVALUATION IN PUBLIC ROAD TRANSPORT: A STOCHASTIC FRONTIER ANALYSIS." TRANSPORT 30, no. 1 (2013): 1–14. http://dx.doi.org/10.3846/16484142.2013.785019.

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This paper measures the technical efficiency of 54 public road transport operators and investigates the degree to which various factors influence efficiency levels in these firms. The study makes an attempt to provide an overview of the general status of different operators in 18 countries. Stochastic Frontier Analysis (SFA) methods are applied to our sample over a twelve year period from 2000 to 2011. To our knowledge, this is the first comprehensive analysis of technical efficiency of public road transport operators in 18 countries using parametric method. Our empirical results indicate that

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Dicle, Mehmet F., and John D. Levendis. "Technical Financial Analysis Tools for Stata." Stata Journal: Promoting communications on statistics and Stata 17, no. 3 (2017): 736–47. http://dx.doi.org/10.1177/1536867x1701700312.

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In this article, we provide four financial technical analysis tools: moving averages, Bollinger bands, moving-average convergence divergence, and the relative strength index. The tftools command is used with four subcommands, each referring to a technical analysis tool: bollingerbands, macd, movingaverage, and rsi. We provide examples for each tool. tftools allows researchers to backtest their own investment strategies and will be of interest to investors, researchers, and students of finance.

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Kudryavtseva, L., V. Kamardina, and E. Nevdha. "Analysis of investment attractiveness in Agriculture on the territory of Krasnodar." Bulletin of Science and Practice 4, no. 11 (2018): 364–68. https://doi.org/10.5281/zenodo.1488258.

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High investment activity is a prerequisite for the development of any subject of the Russian Federation. Investments form the production potential on the new scientific and technical base and predetermine the competitive position of the region in the world market. Increased investment activity contributes to the rise and further growth of the agro-industrial complex. With the help of investments, new investments are created, and, accordingly, additional jobs; existing production facilities are expanded; provides for the development and entry into the market of new types of goods and services;

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Nayak, Prakriti. "Effectiveness of Fundamental Analysis vs. Technical Analysis in Predicting Stock Market Returns." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04110.

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Abstract This research paper explores the effectiveness of fundamental and technical analysis in predicting stock market returns. While fundamental analysis emphasizes the intrinsic value of stocks based on economic indicators, financial statements, and broader macroeconomic trends, technical analysis focuses on historical price trends, trading volume, and market psychology to anticipate future movements. Drawing on recent academic studies, practitioner insights, and comparative case analyses across different markets, this paper critically evaluates the predictive power, inherent limitations,

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Onsomu, Eldah Nyamoita, Moses W. Ngware, and Damiano K. Manda. "The Impact of Skills Development on Competitiveness: Empirical Evidence from a Cross-Country Analysis." education policy analysis archives 18 (March 25, 2010): 7. http://dx.doi.org/10.14507/epaa.v18n7.2010.

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In the past half-century, most countries have emphasized the development of human capital as an instrument for economic growth, sustainable development, and improved global competitiveness. However, limited evidence exists on the link between skills development and a country's competitiveness. This paper examines the contribution and association of skills to a country's competitiveness. The study uses panel data from 84 countries in estimating an empirical model. Skills availability, foreign direct investments, secondary education, and technical (engineering) education and training are signifi

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19

Barry, Peter J., and Lindon J. Robison. "Technical Note: Economic Rates of Return and Investment Analysis." Engineering Economist 59, no. 3 (2014): 231–36. http://dx.doi.org/10.1080/0013791x.2013.855857.

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20

Chiran, A., Elena Gîndu, A. F. Jităreanu, C. R. Vîntu, and Adriana Măgureanu. "Solvency, Indebtedness, Rates of Return and Investment Impact on Economic and Technical Analysis Indicators (Case Study)." Cercetari Agronomice in Moldova 48, no. 4 (2015): 107–17. http://dx.doi.org/10.1515/cerce-2015-0057.

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Abstract The purpose of the performed and presented financial analyzes, in the case of the two units, does not allow major discrepancies between the estimated and achieved situation. The authors have based the research on the technical-economic and financial analysis of investments, which sets economic efficiency and investments viability and assumes forecast of revenue, expenses, profit and loss account, balance sheet and cash flow: a) static analysis of indicators; b) dynamic analysis of indicators, c) cost-benefit analysis. Analysis of economic efficiency and sustainability of investments a

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21

Belov, V. I., and A. Y. Yakimchuk. "ATTRACTING INVESTMENT IN THE RUSSIAN ECONOMY: A SITUATIONAL ANALYSIS." Juvenis Scientia, no. 4 (2019): 13–15. http://dx.doi.org/10.32415/jscientia.2019.04.03.

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This article reveals the topical issues of attracting investment in the Russian economy. Many investors have raised concerns the risks that they face when exercising their economic activities, despite the provision by the state to certain safeguards and mechanisms for the protection of investments. It is worth noting that the Russian investment market is still quite open and little predictable. Investments are of key importance both for the sectors of the Russian economy and for the regions of the country as a whole. They are one of the prerequisites for overcoming the economic crisis in the c

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22

BOGATYREV, Semen Yu, Irina A. NIKONOVA, and Anna V. ZATEVAKHINA. "Fundamental analysis vs technical analysis: Are investors' long and short positions related to their sentiment?" Finance and Credit 29, no. 7 (2023): 1477–95. http://dx.doi.org/10.24891/fc.29.7.1477.

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Subject. This article examines the relationship between long and short positions of investors and their sentiment. Objectives. The article aims to determine the relationship between the emotional component and the sector of investment. Methods. For the study, we used the methods of induction and deduction, statistical methods for processing the results of observations, methods of physiognomy in determining the emotions of investment decision makers. Results. The article reveals the content of methods for taking into account the emotions of investors when choosing an investment sector and descr

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23

Wang, Yan, and Jie Wu. "Empirical Analysis of Relationship between the Government Technical Investment and Economic Growth - Take Shaanxi Province as Example." Advanced Materials Research 403-408 (November 2011): 2354–58. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2354.

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According the data from 1995—2008, this paper has analyzed empirically the relationship between technical investment and economic growth in Shaanxi province government. The result showed that technical investment of Shaanxi province government has greatly improved the economic growth; however, there was big gap between the whole investment scope and the specific scopes of different districts and provinces and, the technical investment take a comparative small scale on the whole finance expenditure or GDP. So, this paper pointed out some suggestions to optimize technical investment of Shaanxi g

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24

Meng, Hexi. "Semiconductor Industry Corporate Analysis." Advances in Economics, Management and Political Sciences 6, no. 1 (2023): 167–70. http://dx.doi.org/10.54254/2754-1169/6/20220194.

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The research target is to better understand the model and market for the semiconductor industry, in order to improve the efficiency and maximize the return of the investment and career development strategy. From the objective point of view, this research first introduces the technical knowledge and application of semiconductor electronics which lead to the importance of semiconductor research and production. It then states the current situation and challenge of the semiconductor industry, referring to several examples and convincing data to emphasize the theme. After that, it provides several

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Yuliya, Sklyarova Igor Sklyarov Lyudmila Latysheva Lyudmila Piterskaya Svetlana Zenchenko. "THEORETICAL AND METHODOLOGICAL FEATURES THE INVESTMENT ANALYSIS OF THE ECONOMY AGRICULTURAL SECTOR." INDO AMERICAN JOURNAL OF PHARMACEUTICAL SCIENCES o6, no. 03 (2019): 5603–10. https://doi.org/10.5281/zenodo.2596649.

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<em>In the agrarian sphere of Russia, the processes of depreciation, aging, and disposal of fixed assets continue, that is, the material and technical base and production potential are aging. In such a situation, the issues of finding sources of investment, improving state support and regulating investment activities in agriculture, primarily stimulating the process of investing in fixed assets to upgrade the material and technical base of agricultural organizations, are of particular relevance. It is on the state and efficiency of investment activities in agriculture that the creation of a de

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Wiyasa, I. Wayan Aristiya, Muh Akob, and La Ode Sumail. "Akankah Sentimen Pasar Menghasilkan Keputusan Investasi yang Tepat?" Jurnal Samudra Ekonomi dan Bisnis 15, no. 2 (2024): 245–57. http://dx.doi.org/10.33059/jseb.v15i2.9039.

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The aim of this research is to investigate the influence of market sentiment on investment decisions and the role of fundamentals and technicals as mediating variables. 259 respondents were selected using a purposive sampling technique, namely BRI Danareksa Sekuritas investors who had made transactions for at least the last 3 months. The results show that investors who have positive market sentiment can make the right investment decisions. Investors who have positive market sentiment and have the right technical analysis skills will also make the right investment decisions. However, even if yo

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Balchandnai, Animesh. "A Comparative Study of Technical vs. Fundamental Analysis in Stock Market Investment." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04393.

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Abstract - This paper provides a detailed comparison of technical and fundamental analysis as strategies for stock market investment. Drawing on both Indian and global contexts, we review academic studies and real-market data to evaluate the strengths and limitations of each method. The findings indicate that fundamental analysis is more reliable for long-term investing, while technical analysis offers advantages in short-term trading. A hybrid approach, using fundamentals for stock selection and technical for timing, often yields superior results. Key Words: Technical analysis, Fundamental an

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Hernández-Nieves, Elena, Javier Parra-Domínguez, Pablo Chamoso, Sara Rodríguez-González, and Juan M. Corchado. "A Data Mining and Analysis Platform for Investment Recommendations." Electronics 10, no. 7 (2021): 859. http://dx.doi.org/10.3390/electronics10070859.

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This article describes the development of a recommender system to obtain buy/sell signals from the results of technical analyses and of forecasts performed for companies operating in the Spanish continuous market. It has a modular design to facilitate the scalability of the model and the improvement of functionalities. The modules are: analysis and data mining, the forecasting system, the technical analysis module, the recommender system, and the visualization platform. The specification of each module is presented, as well as the dependencies and communication between them. Moreover, the prop

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Spasky, G. V. "ANALYSIS OF INVESTMENT PROCESSES, THEIR CHARACTERISTICS AND EMPLOYMENT IN THE AGRICULTURAL SECTOR OF THE ECONOMY OF TRANSCARPATHIA." PROBLEMS OF AGROINDUSTRIAL COMPLEX OF KARPATY 1-2, no. 1 (2023): 100–114. http://dx.doi.org/10.47279/economy_2023-01-24.

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Attention is focused on the importance of investment processes, which depend on the prospects of the country's development and the state of national production, the level of technical equipment of enterprises in the agrarian sector and economic well-being, the standard of living of the population. The peculiarities of investing in the agricultural sector, which are determined by the specifics of agricultural production, are considered. The main reasons for the slowdown of investment processes for business entities, which usually have low solvency and, accordingly, low investment attractiveness

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Hardiyanti, Widya, and Open Darnius. "Risk Value Analysis of Gold Futures Trading Investment using Fundamental Analysis, Technical Analysis, and Value at Risk." Journal of Research in Mathematics Trends and Technology 3, no. 1 (2021): 8–19. http://dx.doi.org/10.32734/jormtt.v3i1.6468.

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This study was conducted to analyze the value of risk in trading Gold Trading Futures using Fundamental Analysis, Technical Analysis and Value at Risk. Fundamental analysis that uses Wage Income data other than the Agriculture Sector (Non-Farm Payroll), the conditions of the United States economy, and demand for gold prices in the world. Technical Analysis uses Moving Average Convergence / Divergence, Relative Vigor Index, and Pivot Points. Value at Risk is based on normal errors and skewness / kurtosis. The results of the analysis shown are the MACD Indicator has a truth level of 146 out of 2

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Omar, Faruque, and Rafiul Islam Md. "Security Analysis of Banking Industry in Bangladesh." Asian Business Review 8, no. 1 (2018): 21–24. https://doi.org/10.18034/abr.v8i1.4.

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The paper aims to know what about the procedure of analysis for determining the investment decision in the stock market on by studying different method of the securities analysis. This study is an attempt to highlight the different securities analysis methods for making the rational decision about the investment in the stock market. The security analyses show the result of fundamental and technical tools of analyses. The study reveals that Uttara bank Ltd. among the selected three banks is doing well and one can go for making an investment decision. The report mainly focuses on the decision cr

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Simanjuntak, Rahmad, Sonya Putri, and Iskandar Muda. "The influence of technical and fundamental analysis on investment decision making for traders with theory of reasoned action." Brazilian Journal of Development 9, no. 12 (2023): 31972–86. http://dx.doi.org/10.34117/bjdv9n12-095.

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Financial behavior is intended to understand the behavior of investors in making investment decisions. Decision-making is a process to select the best alternative from available possible alternatives in a complex situation. Decision-making in investments is influenced by knowledge of fundamental analysis, technical analysis, and investor psychology in the capital market. This study aims to determine the behavior of investors in decision-making in investments in the capital market. There were eight informants interviewed in this study from various backgrounds, including brokers, university stud

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Hamid, Agustini. "Accuracy Combination Test of Classical and Modern Technical Analysis: A Case Study in Stock of PT Wijaya Karya Tbk." Binus Business Review 7, no. 1 (2016): 71. http://dx.doi.org/10.21512/bbr.v7i1.1465.

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The research aimed to measure the accuracy and combination of Classic and Modern Technical Analysis. PT Wijaya Karya Tbk (WIKA)’s stock in two periods is the sample of research. Technical analysis was used to predict stock prices by observing changes in historical share price. Practically, technical analysis is divided into Classic Technical and Modern. Research was conducted by library study and using a computer software. Microsft Excel was used for the simulation and Chart Nexus for analyzing Modern Technical Analysis. The research period started in January 1, 2013 until December 31, 2013 an

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Slobodeniuk, O. "Methodological foundations for analysis and selection of investment projects for housing stock reconstruction." Ways to Improve Construction Efficiency 3, no. 52 (2023): 179–87. https://doi.org/10.32347/2707-501x.2023.52(3).179-187.

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The current housing stock in Ukraine is characterized by significant physical and moral deterioration, negatively impacting the population's quality of life and creating serious risks for residential safety. Given the limited budgetary resources and substantial capital investments required for constructing new housing, maximizing the potential of existing buildings and territories through effective reconstruction of outdated housing has become an essential task. Addressing this issue requires developing and implementing scientifically grounded methodological approaches to analyze and select in

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Melton, Michael R., Xuan (Susan) Nguyen, and Michael Simeone. "Incorporating technical analysis in undergraduate curricula." PSU Research Review 1, no. 3 (2017): 200–215. http://dx.doi.org/10.1108/prr-12-2016-0016.

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Purpose The purpose of this paper is to introduce instruction of technical analysis on the undergraduate level that can coincide with traditional teachings of fundamental analysis. Design/methodology/approach Through examples using the latest in security analysis technology, this paper illustrates the importance of technical security analysis. Findings This research illustrates how technical analysis techniques may be used to make more significant investment decisions. Originality value Kirkpatrick and Dahlquist define technical analysis as a security analysis discipline for forecasting future

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Srushti Dongrey. "Study of Market Indicators used for Technical Analysis." International Journal of Engineering and Management Research 12, no. 2 (2022): 64–83. http://dx.doi.org/10.31033/ijemr.12.2.11.

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Anticipating and analyzing the stock market and the price movement is a challenging task as the nature of the stock prices is quite complicated, non-linear and dynamic. Examining the financial time series data and making decisions is the toughest job in stock market. These correct decisions help in improving the returns on investment and minimize the loss and risks incurred. Technical analysis has been a trading tool since the 18th century which is used by investors and traders to evaluate the investments, identify the trading opportunities and forecast the future stock prices movement by anal

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Zhang, Yilin, Zhenyu Cheng, and Qingsong He. "Time lag analysis of FDI spillover effect." International Journal of Emerging Markets 15, no. 4 (2019): 629–50. http://dx.doi.org/10.1108/ijoem-03-2019-0225.

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Purpose For the developing countries involving in the Belt and Road Initiative (BRI) with China as the main source of foreign development investment (FDI) and development as the top priority, it appears to attract more and more attention on how to make the best use of China’s outward foreign development investment. However, the contradictory evidence in the previous studies of FDI spillover effect and the remarkable time-lag feature of spillovers motivate us to analyze the mechanism of FDI spillover effect. The paper aims to discuss this issue. Design/methodology/approach The mechanism of FDI

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Kawa, Szymon. "Analiza ryzyka a skuteczność realizacji gazowniczych projektów inwestycyjnych finansowanych przy udziale funduszy UE." Nafta-Gaz 77, no. 6 (2021): 408–15. http://dx.doi.org/10.18668/ng.2021.06.07.

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Managing a gas investment project is a very complicated process, both from the technical and organizational side. The technical and technological preparation and implementation of such a project is the domain of engineers who use the available methods, tools and materials as well as technology and are able to prepare and carry out the investment process. This aspect should be complemented by the entire organization and management of the process, i.e. organizing and directing each of the listed elements so that the project is carried out in accordance with the assumed schedule and there are no

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DR, BHADRAPPA HARALAYYA, and S. AITHAL P. "TECHNICAL EFFICIENCY AFFECTING FACTORS IN INDIAN BANKING SECTOR AN EMPIRICAL ANALYSIS." Turkish Online Journal of Qualitative Inquiry (TOJQI) 12, no. 3 (2021): 603–20. https://doi.org/10.5281/zenodo.5081670.

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This study examinesthe technical efficiency of banking sector and its affecting factors in India using a panel data during 2005–2020. It used log-linear regression model under a stochastic frontier production function approach.It considers47 scheduled banks (18-public sector, 13-private sector and 16-foreign sector). The technical efficiency is estimated as assuming that return-on-investment and return-on-advances of banks are the important outputs. Fixed assets, total assets, total employees, total deposits, return on equity and capital adequacy rate are vital inputsto increase the perf

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Fikriyah, Tia Mahrurotul, and Dwi Suhartini. "Analysis of Factors that Influence Investment Decisions with Financial Literacy as a Moderating Variable." Indonesian Journal of Business Analytics 3, no. 4 (2023): 1363–76. http://dx.doi.org/10.55927/ijba.v3i4.5200.

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Investment is an important driving factor in a country's economic growth. However, in making investment decisions, factors such as fundamental analysis, technical analysis, psychological factors, and financial literacy can influence the results of investment decisions. Therefore, this study aims to analyze these factors and their relationship with investment decisions. This study uses a quantitative method with a descriptive approach. The research subjects were students of the East Java "Veteran" National Development University. Data is collected through a questionnaire that measures the level

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Kudashkin, Vladimir V. "Current legal issues of investments in the sphere of military-technical cooperation." Gosudarstvo i pravo, no. 11 (2022): 148. http://dx.doi.org/10.31857/s102694520022768-5.

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The article is devoted to studying the pressing legal questions of investments, transferring of licenses to a foreign state to manufacture Russian military products, joint ventures and acquisition of shares in such ventures in a foreign state, analysis of legal regime of investment services in the sphere of military-technical cooperation. The article pays a particular attention to the scope of terms “investment” and “investment service” because of the different administrative law regimes regarding their civilian and foreign trade turnover established by the state

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Kibuuka, Paul, and David Fourie. "Effective regional infrastructure delivery in Africa: an analysis of the financial skills of the technical staff." Public and Municipal Finance 5, no. 1 (2016): 18–28. http://dx.doi.org/10.21511/pmf.05(1).2016.03.

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During the last fifteen years, it has become apparent that capacity building is an important ingredient for sustainable development. In this regard, governments in Africa rank capacity building for infrastructure delivery amongst the top priorities for promoting sustainable development. A large share of Africa’s infrastructure is domestically financed, with the central government budget being the main driver of infrastructure investment. It is, therefore, important to strengthen the finance and technical capacity of public sector officials to effectively manage the preparation, structuring, im

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Li, Dan, and Wei Xin Luan. "Dynamic Efficiency Analysis of Coastal Container Terminal Enterprises in China." Advanced Materials Research 712-715 (June 2013): 3139–43. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.3139.

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Following the implementation of the 12th five-year plan, the development mode of Chinas coastal container port has changed; it thus requires higher port efficiency and an optimized development mode. This paper applies the DEA-Malmquist index to the quantitative assessment of dynamic efficiency of coastal container terminal enterprises in China. The result shows that the technical change enhanced from 2007 to 2010 year by year, however, the technical efficiency change decreased. Scale inefficiency is the main reason why the technical efficiency is low. This indicates that there is necessary for

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Teng, Zijun. "Stock Selection and Analysis Based on Valuation, Growth, Profitability and Payout." BCP Business & Management 38 (March 2, 2023): 926–34. http://dx.doi.org/10.54691/bcpbm.v38i.3798.

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Stock investing is an enduring topic in finance. Investors choose stocks in order to obtain expected investment returns, but this investment return comes at the expense of investors taking the corresponding risks. Carrying out stock investment analysis is beneficial to reduce the blindness of investment decisions, thereby improving the scientific nature of investment decisions. Investors choose different stock portfolios through stock investment analysis to help reduce investment risks. This article will take some perspectives from the fundamental analysis school and the technical analysis sch

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Sharma, Dhruva. "DO COGNITIVE BIASES INFLUENCE INVESTMENT DECISIONS BASED ON TECHNICAL FACTORS?" Sachetas 3, no. 2 (2024): 15–22. http://dx.doi.org/10.55955/320003.

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Objective: The purpose of this research is to examine the influence of investors' Cognitive biases on the technical analysis component of investment decisions made by retail investors in Guwahati, Assam, India. Design/Methodology/Approach: Technical analysis of investment decisions is the dependent variable, whereas cognitive biases are the independent factors evaluated. To determine the bearing of these biases on the choice to invest, multinomial logistic regression is used. Findings: 1. Confirmation and Hindsight bias and Herding bias impacts investment decision based on Price Action analysi

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Nguyen Viet Hung. "FORECASTING THE VIETNAMESE STOCK MARKET USING TECHNICAL ANALYSIS INDICATORS." International Journal of Management & Entrepreneurship Research 5, no. 12 (2023): 1076–84. http://dx.doi.org/10.51594/ijmer.v5i12.657.

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This study focuses on forecasting using technical analysis methods in the Vietnamese Stock Market. By employing three highly regarded technical indicators, the research provides observations and forecasts for the Vietnamese Stock Market (VNINDEX) in the short, medium, and long terms. The objective is to offer specific insights, predictions, and recommendations for investors in the Vietnamese stock market during the late stages of 2023 and the periods of 2024-2025. Keywords: Stock Market, Securities Investment, Technical Analysis, RSI, CCI, MACD.

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Sokolov Germanov, Stanislav. "THEORETICAL METHODOLOGICAL JUSTIFICATION IN TECHNICAL ANALYSIS OF FINANCIAL MARKETS." KNOWLEDGE - International Journal 58, no. 1 (2023): 61–64. http://dx.doi.org/10.35120/kij5801061s.

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We live in strange times times of change, crises, pandemics, conflicts and even wars. Technology is developing at an incredible speed, and our ability to predict or react is narrowed by rapidly changing trends, market changes and more. Throughout millennia of written and unwritten history, humanity has learned to change, evolve and survive. Economists and marketers have long recognised the cyclical nature of events and their repeatability, thus creating theories and tools. In our attempt to predict future events, we often refer to past experience and historical lessons. In the field of finance

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Biswajit, Rout, Mohanty Ayesha, and Kacharia Akash. "BULL VS BEAR MARKET- AN INVESTMENT GAME ANALYSIS USING MOVING AVERAGE METHOD." International Journal of Research - Granthaalayah 5, no. 11 (2017): 425–43. https://doi.org/10.5281/zenodo.1117293.

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This paper aims to analyse and interpret the investor perception about investing in stock market. The market is often referred as to bull or bear market. This is key importance for financial decisions and economic analysis. The market behaves differently in these two phase. The bull market is identified when there is constant rise of stock prices whereas bear market is referred when there is fall in stock prices. These phases occur due to different trends of market or economy. Investor sentiments get affected by this. The paper tries to identify and provides understanding about the factors tha

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R, Sharmila, Kavitha R, and Ananthi S. "Technical analysis on select stocks of banking sector." Journal of Management and Science 6, no. 3 (2016): 231–42. http://dx.doi.org/10.26524/jms.2016.21.

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Technical Analysis is the forecasting of future financial price movements based on an examination of past price movements. Like weather forecasting, technical analysis does not result in absolute predictions about the future. Instead, technical analysis can help investors anticipate what is “likely” to happen to prices over time. Technical analysis uses a wide variety of charts that show price over time. This study is based on the analysis of four Nifty Bank Index stocks namely Axis Bank, Bank of Baroda, State Bank of India and ICICI bank listed in National Stock Exchange. Technical indicators

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Subedi, Khem Raj, Min Bahadur Shahi, and Shankar Datt Bhatt. "Efficacy of Technical Analysis to Assess Fair Value Gap: Evidence from Nepalese Commercial Bank." Sudurpaschim Spectrum 2, no. 2 (2024): 81–95. https://doi.org/10.3126/sudurpaschim.v2i2.80419.

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This paper examines the efficacy of the selected technical indicators to identify fair value gaps meant for stock investment and trade optimization based on the technical signals of the Banking sector stocks listed in the Nepal Stock Exchange (NEPSE). The analysis focuses on Simple Moving Averages (SMA), Moving Average Convergence Divergence (MACD), Bollinger Bands (BB), Relative Strength Index (RSI), and Fibonacci Retracement as key indicators. Findings reveal that the selected technical indicators provide reliable ground to explore fair value gap and better market entry and exit signals for

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