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Journal articles on the topic 'Technical and fundamental analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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1

Harrington, Cynthia. "Fundamental vs. Technical Analysis." CFA Institute Magazine 14, no. 1 (January 2003): 36–37. http://dx.doi.org/10.2469/cfm.v14.n1.2789.

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2

Bollinger, John. "Combining Technical and Fundamental Analysis." CFA Institute Conference Proceedings 2005, no. 4 (June 21, 2005): 60–70. http://dx.doi.org/10.2469/cp.v2005.n4.3501.

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3

Blakey, P. "Wireless investor [fundamental and technical analysis]." IEEE Microwave Magazine 2, no. 4 (2001): 18–24. http://dx.doi.org/10.1109/6668.969931.

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4

Bettman, Jenni L., Stephen J. Sault, and Emma L. Schultz. "Fundamental and technical analysis: substitutes or complements?" Accounting & Finance 49, no. 1 (March 2009): 21–36. http://dx.doi.org/10.1111/j.1467-629x.2008.00277.x.

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5

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 (April 28, 2017): 16485–89. http://dx.doi.org/10.24327/ijrsr.2017.0804.0157.

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6

Andersen, J. V., S. Gluzman, and D. Sornette. "Fundamental framework for “technical analysis” of market prices." European Physical Journal B 14, no. 3 (March 2000): 579–601. http://dx.doi.org/10.1007/s100510051067.

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7

Eiamkanitchat, Narissara, Theerasak Moontuy, and Sakgasit Ramingwong. "Fundamental analysis and technical analysis integrated system for stock filtration." Cluster Computing 20, no. 1 (November 30, 2016): 883–94. http://dx.doi.org/10.1007/s10586-016-0694-2.

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8

Petrusheva, Nada, and Igor Jordanoski. "Comparative analysis between the fundamental and technical analysis of stocks." Journal of Process Management. New Technologies 4, no. 2 (2016): 26–31. http://dx.doi.org/10.5937/jpmnt1602026p.

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9

Melton, Michael R., Xuan (Susan) Nguyen, and Michael Simeone. "Incorporating technical analysis in undergraduate curricula." PSU Research Review 1, no. 3 (November 28, 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 direction of prices through the study of past market data primarily price and volume This form of analysis has stood in direct contrast to the fundamental analysis approach whereby actual facts of the company its industry and sector may be ignored. Understanding this contrast, much of academia has chosen to continue to focus its finance curricula on fundamental analysis techniques. As more universities implement trading rooms to reflect that of industry, they must recognize that any large brokerage trading group or financial institution will typically have both a technical analysis and fundamental analysis team. Thus, the need to incorporate technical analysis into undergraduate finance curricula.
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10

Gupta, Sumeet. "FUNDAMENTAL & TECHNICAL ANAYSIS OF CRUDE OIL PRICES." Journal of Global Economy 17, no. 1 (April 17, 2021): 3–20. http://dx.doi.org/10.1956/jge.v17i1.617.

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The human mind is not as good at processing large amounts of information as we might like. Psychologists have shown that human beings are only able to juggle small numbers of related and often conflicting pieces of information without making judgment errors. As a result, individuals faced with the vast amounts of information available to support investment decisions often find themselves swamped by the enormity of the task; unable to see the wood from the trees. Technical analysis is a field of financial markets research that works to address the above problem by focusing on a single, commonly available, data source that reflects all known information and activity relating to all monetary securities- Price history. Technical analysts argue that as markets are efficient, prices reflect all known information and that they move over time as participants react to new information and changing needs. As a result, the technical analysis of these price changes can provide real insight into the market dynamics and be used to develop trade strategies that exhibit superior risk/reward characteristics. While technical analysis approaches have developed significantly over the past few decades, some techniques are far more ancient. While their real origins are anonymous, Japanese candlestick charts have been recorded as being employed in the rice markets as far back as the 1600s. What is particularly interesting is that various of these ancient approaches continue to provide highly effective trading signals when applied to modern markets and securities. Crude oil price volatility is in the midst of the largest business risk that oil and gas companies face. This is followed by unstable policy regime, managing costs and risks emerging from technological advancements. The high levels and rapid fluctuations of petroleum prices have become a great concern to individual consumers, firms, policy makers and society. 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. Hence, to mitigate the negative impacts of price volatility and to predict about the future price movement of crude oil and natural gas we can use technical analysis. Technical analysis is the study of market action, primarily through the use of charts, for the purpose of forecasting price trends. The term “market action” includes the three principal source of action available to the technician-price, volume and open interest. This research paper highlights fundamental factor which affects the Brent price and analysed the factor which are highly correlated with Brent price and on the basis of the results forecasted the Brent price for next five years. Fundamental analysis of Brent oil, price pattern & movement of crude oil has also been carried out using candlestick technical tool.
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11

Sumantri, Muhammad Bayu Aji, Helin G. Yudawisastra, and Ridho C. Handanu. "How Fundamental Analysis and Technical Analysis Determining the Stock Price: Case Study of Mining Company Listed on the Indonesia Stock Exchange." International Journal of Trade, Economics and Finance 9, no. 6 (December 2018): 274–77. http://dx.doi.org/10.18178/ijtef.2018.9.6.628.

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12

Kadiri, Engr, and O. Alabi. "Importance of Technical and Fundamental Analysis in the Foreign Exchange Market." British Journal of Economics, Management & Trade 5, no. 2 (January 10, 2015): 181–94. http://dx.doi.org/10.9734/bjemt/2015/10735.

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13

Agustin, Isnaini Nuzula. "The Integration of Fundamental and Technical Analysis in Predicting the Stock Price." Jurnal Manajemen Maranatha 18, no. 2 (May 27, 2019): 93–102. http://dx.doi.org/10.28932/jmm.v18i2.1611.

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Fundamental Analysis and Technical Analysis have long been used by investors as an analysis instrument to predict the stock price in gaining optimal return. The purpose of this study is to test the predictive ability of Fundamental Analysis and Technical Analysis model partially, then simultaneously test the integrated model of both analysis. The scope of this study includes the listed companies in LQ 45 stock exchange during 2007- 2016 period. The Fundamental Variable used in this study are Earning per Share (EPS), Dividend Payout Ratio (DPR) and Return on Equity (ROE). The Technical Variable used is the price during the previous six months ( price t-0.5), Positive extreme price increase (D-Up), and Negative extreme price decline momentum (D-Down). The result of this study shows that Technical Model produces highest predictive ability compared to the other two models, while Integration model produces higher predictive ability compared to fundamental model. Using Integration model, EPS variable affects positively and significant, DPR variable affects negatively and insignificant, ROE variable, t-0.5, and D-Up affect positively and significant, while variable D down affects negatively and insignificant to the Stock Price. This result indicates that investors need to combine both analysis models i.e. fundamental and technical to generate optimal stock returns. Keywords and phrase : Earning Per Share, Dividend Payout Ratio, Extreme Positive Momentum, Extreme Negative Momentum.
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14

Pavlou, Nikolaos, George Blanas, and Pavlos Golemis. "The Application of Fundamental Analysis and Technical Analysis in the Athens Derivatives Exchange (ADEX)." Journal of International Business and Economy 8, no. 1 (July 1, 2007): 89–104. http://dx.doi.org/10.51240/jibe.2007.1.7.

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Derivatives Market in Greece is under development and investors have a clear lack of advising upon this market. Analysts may say that derivatives have low risk, however investing on them does not always return profits. That is why financial analysis is useful, to inform investors. In this paper we try to apply a financial analysis on derivatives market through two different approaches. The fundamental analysis (FA) investigates a firm’s performance through its financial statements and the technical analysis (TA) takes into consideration the past closing prices of the security. The FA will be set through five different kinds of financial ratios for the last five years and TA through five technical indicators for the last three years. Evaluating the results of each method, we try to find whether there is relation with their sector, index, size, establishment date and import date to ASE or not. Our findings show that in both methods there is no strong correlation between the performance and the five different factors, so stock performance is depending on preferences of the investors and not on the directive factors.
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Mulyani, Erly, Firman Fifrman, Gesit Thabrani, and Muthia Roza Linda. "PKM Pelatihan Analisis Fundamental dan Teknikal Sebagai Alat Analisis Pengambilan Keputusan Investasi di Pasar Modal Pada Guru MGMP Akuntansi dan Ekonomi SMA/SMK Kota Bukittinggi." Wahana Riset Akuntansi 7, no. 2 (December 9, 2019): 1567. http://dx.doi.org/10.24036/wra.v7i2.106949.

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This community service aims to increase partners' understanding and knowledge of fundamental and technical analysis as an analysis tool for investment decision making in the capital market. This community service provide training, discussion, practice and monitoring to the partners. There was 28 participants followed the activity. After the training, the participants were able to conduct fundamental and technical analysis well, and made transaction in the BEI Jakarta. This can be seen from the activities of the participants who directly carry out buying and selling transactions using fundamental and technical analysis using the POST application of securities where. Keywords: Fundamental, technical, analysis, trading
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16

Nti, Isaac Kofi, Adebayo Felix Adekoya, and Benjamin Asubam Weyori. "A systematic review of fundamental and technical analysis of stock market predictions." Artificial Intelligence Review 53, no. 4 (August 20, 2019): 3007–57. http://dx.doi.org/10.1007/s10462-019-09754-z.

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17

Lam, Monica. "Neural network techniques for financial performance prediction: integrating fundamental and technical analysis." Decision Support Systems 37, no. 4 (September 2004): 567–81. http://dx.doi.org/10.1016/s0167-9236(03)00088-5.

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18

Oberlechner, Thomas. "Importance of technical and fundamental analysis in the European foreign exchange market." International Journal of Finance & Economics 6, no. 1 (January 2001): 81–93. http://dx.doi.org/10.1002/ijfe.145.

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19

Baradi, Naveen Kumar, and Sanjay Mohapatra. "The Use of Technical and Fundamental Tools By Indian Stock Brokers." International Journal of Business Analytics 2, no. 1 (January 2015): 60–73. http://dx.doi.org/10.4018/ijban.2015010104.

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This paper presents findings of an online questionnaire survey on the perceived importance of chartist/technical and fundamental analysis and the usage of Chartist Methods and Services and Valuation Techniques among stock brokers of Bombay Stock Exchange, India. Stock brokers rely more on fundamental analysis vis-à-vis technical analysis at longer forecasting horizons and rely more on technical analysis at shorter forecasting horizons. Among Chartist Methods and Services, Sentiment Indicators were most used and Chart Company or Analyst was least used by brokers. Among Valuation Techniques, Earnings Multiple Methods were most used and Dividend Discount Models were least used by brokers. Stock brokers' age correlates with usage of sentiment indicators and their gender correlates with the usage of computer graphics and services. Regarding the use of chartist / technical and fundamental analysis on seven forecasting horizons, four distinct forecasting styles among stock brokers could be identified through cluster analysis.
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20

Flotyński, Marcin. "The Profitability of the Strategy Linking Fundamental, Portfolio and Technical Analysis on the Polish Capital Market." Folia Oeconomica Stetinensia 16, no. 1 (December 1, 2016): 113–46. http://dx.doi.org/10.1515/foli-2016-0008.

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Abstract In the article, several methods of taking investment decisions are described: a fundamental, portfolio, and technical analysis. They constitute different approaches which are convenient for different types of investors with various expectations and time horizons of their investments. The simultaneous combination of these three analyses is not popular. The aim of this study is to test the effectiveness of simultaneous use of a fundamental analysis, portfolio analysis, and technical analysis for shares quoted on the Warsaw Stock Exchange (WSE) in 2000–2007. The research hypothesis is advanced that the concurrent-linked application of a fundamental, portfolio, and technical analysis brings better results than the separate use of these analyses. Models of capital market, such as CAPM and APT, have been used, as well as P/E ratio, Return on Equity (RoE), Relative Strength Index (RSI), and Exponential Moving Average (EMA). The combination of a financial analysis, technical indicators, and models of the capital market in order to invest on the stock exchange is author’s own method. In general, the survey has been carried out on the grounds of quantitative methods (financial analysis, regression model, and multi regression model) and a comparative analysis. The results of the research have been used to create diversified portfolios on the WSE. It occurs that the concurrent use of the three analyses brings the highest rate of return of a portfolio.
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Gemmill, Gordon. "A complete guide to the futures markets: Fundamental analysis, technical analysis, trading, spreads and options." International Journal of Forecasting 2, no. 2 (January 1986): 251–52. http://dx.doi.org/10.1016/0169-2070(86)90127-5.

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22

Nagendra, S., Satish Kumar, and Jayashree. "Implications and Usefulness of Fundamental and Technical Analysis in Stock Market Decision Making." Indian Journal of Finance 12, no. 5 (May 1, 2018): 54. http://dx.doi.org/10.17010/ijf/2018/v12i5/123702.

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23

Mashiqa, V. A., T. Mokoaleli-Mokoteli, and P. Alagidede. "Complementarity of Fundamental and Technical Analysis of JSE-Listed Stocks: An Empirical Appraisal." Studies in Economics and Econometrics 40, no. 1 (April 1, 2016): 21–40. http://dx.doi.org/10.1080/10800379.2016.12097290.

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24

Bagchi, Amiya Kumar. "Some fundamental issues in the analysis of technical change in the developing economies." Social Science Information 29, no. 2 (June 1990): 399–415. http://dx.doi.org/10.1177/053901890029002010.

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25

Dzeletovic, Milenko, and Marko Milosevic. "Fundamental and technical analysis as a means of efficient portfolio management of securities." Poslovna ekonomija 11, no. 1 (2017): 47–68. http://dx.doi.org/10.5937/poseko11-14046.

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Lopushansky, Denis. "Option hedging of stock indices: Benefits of signals of fundamental and technical analysis." Economics and the Mathematical Methods 57, no. 2 (2021): 106. http://dx.doi.org/10.31857/s042473880014919-9.

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27

Gamaliy, Volodymyr, Nataliia Shalimova, Ruslana Zhovnovach, Maksym Zahreba, and Anna Levchenko. "Exchange rates: the influence of political and economic events. а fundamental analysis approach." Banks and Bank Systems 13, no. 4 (December 25, 2018): 131–42. http://dx.doi.org/10.21511/bbs.13(4).2018.12.

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The objective of the article is to study the influence of political and economic factors on the situation on the world foreign exchange market, substantiate the importance of fundamental analysis in forecasting currency rates. The concept and mechanisms of functioning of the world currency market, its assets and specific features in comparison with other financial platforms are considered in the article. The need for special attention to fundamental analysis during the periods of global political and economic events is grounded. Based on the analysis of the dynamics of the leading world currency pairs in recent years, the period from October 2016 to April 2017 was chosen for an analysis because that period is full of significant events in the world political and economic arena, which are powerful levers of the traders’ behavior, and hence the direction of the dynamics of key currency pairs. These events are as follows: presidential elections in the USA; two increases of the Federal Reserve rate; and the policy of the European Central Bank, aimed at stimulating inflation. It is substantiated that using the fundamental analysis makes it possible to assess the trend and scale of changes in the rates of the world currencies, and in combination with technical analysis is an integral tool for successful trading and forecasting the dynamics of currency pairs. The possibility of using the mechanisms of functioning of such fundamental analysis tool as artificial neural networks and the ways of their application in solving such problems has been considered.
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Suar, Abi Suar Alizar, and Meirison Meirison Meirison. "INFLUENCE KNOWLEDGE LEVEL FUNDAMENTAL ANALYSIS AND TECHNICAL ANALYSIS ON CONTINUITY OF INVESTING IN SHARIA STOCKS IN SHARIA INVESTMENT GALLERY INDONESIA STOCK EXCHANGE STATE INSTITUTE OF ISLAMIC RELIGION KERINCI." TRANSFORMATIF 4, no. 2 (January 31, 2021): 121–42. http://dx.doi.org/10.23971/tf.v4i2.2040.

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Once the prospection of sharia trading in the capital market must be supported with a level of knowledge in analyzing the stocks that will be traded. Therefore there is an in-depth knowledge of the analysis of sharia stocks before making transactions on the sharia capital market and needed a deepening of understanding on fundamental and technical analysis to achieve optimal profit in the purchase or sale of Sharia stocks. This research aims to determine the influence of the knowledge level of fundamental analysis in the Continuity of investing in sharia stocks. Influence the level of technical analysis in the continuation of Continuity to invest in sharia stocks and the effect of the knowledge level of fundamental and technical analysis simultaneously on the Continuity of investing in sharia stocks. The research method used in this research is to use a quantitative approach. The result of the study was on a partial (independent) fundamental analysis level (X1) test for the variable Continuity of investing (Y). The influence of Knowledge level technical analysis (X2) partially against the Continuity of investing (Y), both get the result of a tcount < Ttable, OR a significant > 0.05. Zero hypotheses (H0) received, and an alternate hypothesis (HA) is rejected, which means variable X does Not affect the variable Y. Similar results are also obtained From simultaneous calculations (together).
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Żurek, Józef, Jerzy Małachowski, Jarosław Ziółkowski, and Joanna Szkutnik-Rogoż. "Reliability Analysis of Technical Means of Transport." Applied Sciences 10, no. 9 (April 26, 2020): 3016. http://dx.doi.org/10.3390/app10093016.

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The importance of system reliability within military logistics should be considered in terms of the ability to ensure the readiness of all available resources, e.g., means of transport, which are necessary during the realization of operational tasks. A special role is played by technical security, which enables the performance of all the specific tasks by the realization of the process supporting the subsystem in the area of providing the necessary assemblies, subassemblies and spare parts. The objective of the work was to define reliability in relation to technical means of transport and to illustrate an original solution leading to the determination of the expected fitness time of the available vehicle fleet, using the example of a selected military unit. The GNU Octave software—designed to conduct, among other things, advanced numerical computations—was used for the study. The daily operational mileage for a selected group of means of transport and the moments of failures were recorded during the tests, for the period from 31 December 2013 until 30 June 2015. The conducted analysis enabled the determination of the fundamental reliability indicators. The presented model has been supported with numerical examples, along with the interpretation of the obtained results.
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Figurska, Marta, and Radoslaw Wisniewski. "Fundamental Analysis – Possiblity of Application on the Real Estate Market." Real Estate Management and Valuation 24, no. 4 (December 1, 2016): 35–46. http://dx.doi.org/10.1515/remav-2016-0028.

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Abstract The most common method supporting investing on the capital market or making decisions on the real estate market is technical analysis. This article, however, focuses on the less popular fundamental analysis, the importance of which is increasing on internationals markets, especially fully-developed ones. Fundamental analysis is used for long-term predictions of values of future phenomena, based on historical data and any factors likely to affect the level of supply and demand. The final result of its use is an appraisal the true value of the subject of valuation, or so-called fundamental (intrinsic) value. Using this method to analyze, diagnose and forecast economic phenomena, as well as become familiar with the market in terms of its fundamentals, positively influences the process of taking investment measures and leads to a better understanding of the real estate market. The aim of the following study is to describe the possibility of applying fundamental analysis on the real estate market, based on the principles existing on capital markets. This article serves as an introduction to the subject-matter as well as the beginning of series of publications dedicated to different aspects of conducting fundamental analysis in the context of the real estate market.
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31

Prakash, P., and S. Sundararajan. "An Analytical Research on Fundamental and Technical Analysis of ICICI Bank Stocks in India." Asian Journal of Research in Social Sciences and Humanities 6, no. 9 (2016): 895. http://dx.doi.org/10.5958/2249-7315.2016.00840.6.

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32

Sharma, Manika, and Mohammad Firoz. "Predicting Exchange Rate Using Fundamental and Technical Analysis: Evidence from Indian Foreign Exchange Market." Journal of Advanced Research in Dynamical and Control Systems 12, no. 8 (July 31, 2020): 284–91. http://dx.doi.org/10.5373/jardcs/v12i8/20202475.

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33

Loebiantoro, Ika Yanuarti, H. C. Eaw, and Nursyamilah Annuar. "The Existence of Behavioral Biases and Personality Traits in Explaining the Effect of Fundamental and Technical Analysis to Investment Performance in Indonesia Stock Exchange." Jurnal Intelek 16, no. 1 (January 26, 2021): 190–99. http://dx.doi.org/10.24191/ji.v16i1.380.

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Rational investors focus on the fundamental and technical analysis in their investment decisions. In fundamental analysis, they consider economic conditions, industry analysis, and company analysis if they use a top-down approach, and vice versa if they use a bottom-up approach. Technical analysis focuses on the historical movement of stock price to predict the future price by using the pattern of a chart. However, in modern finance, investors are not fully rational as they are also affected by the psychological factors when making their investment decisions. These psychological factors then create behavioral biases, which becomes the basic assumption of behavioral finance This research is aimed at investigating the role of availability bias and disposition effect as behavioral biases that make investors irrational in their behaviors and whether it is supported by the Big Five Personality Traits, which include openness, conscientiousness, extraversion, agreeableness, and neuroticism (OCEAN). It needs to explore the influence of fundamental analysis and technical analysis on investment performance with the existence of behavioral biases as mediating variable and personality traits as a moderating variable between fundamental analysis and behavioral biases.
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Mangale, Chittaranjan, Shyam Meena, and Preetesh Purohit. "Fuzzy Logic based Stock Value Prediction using Fundamental Analysis." Oriental journal of computer science and technology 10, no. 1 (March 16, 2017): 120–26. http://dx.doi.org/10.13005/ojcst/10.01.16.

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Stock market is very versatile and fluctuates with time. For the same way it becomes difficult to predict movement of the stock, there are various approaches and tools through which the price of the stock is determined by the past patterns. Mostly the approaches are in terms of fundamental approach and technical approach. For the long-term valuation fundamental approach is used. Every stock is having its own value that does not depend on the price of the stock that is known as Intrinsic value. The proposed model works through phases of data collection, feature processing, fuzzy logic mapping and stock value calculation. Fuzzy logic is used to map the quality as well as quantity valuation factors. The IF THEN rules are applied on the linguistic variable. The fuzzy model outcomes the stock value which is used to provide stock worth. The stock value is calculated by Dividend discount model. Accuracy of the system is 0.77. The results offer the backbone for the value and not the price.
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DZIKEVIČIUS, Audrius. "FORMATION OF AN INTEGRATED STOCK PRICE FORECAST MODEL IN LITHUANIA." Business, Management and Education 14, no. 2 (December 29, 2016): 292–307. http://dx.doi.org/10.3846/bme.2016.337.

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Technical and fundamental analyses are widely used to forecast stock prices due to lack of knowledge of other modern models and methods such as Residual Income Model, ANN-APGARCH, Support Vector Machine, Probabilistic Neural Network and Genetic Fuzzy Systems. Although stock price forecast models integrating both technical and fundamental analyses are currently used widely, their integration is not justified comprehensively enough. This paper discusses theoretical one-factor and multi-factor stock price forecast models already applied by investors at a global level and determines possibility to create and apply practically a stock price forecast model which integrates fundamental and technical analysis with the reference to the Lithuanian stock market. The research is aimed to determine the relationship between stock prices of the 14 Lithuanian companies listed in the Main List by the Nasdaq OMX Baltic and various fundamental variables. Based on correlation and regression analysis results and application of c-Squared Test, ANOVA method, a general stock price forecast model is generated. This paper discusses practical implications how the developed model can be used to forecast stock prices by individual investors and suggests additional check measures.
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Rusmanto, Toto. "Integration Analysis’ Explanatory Power Over Stock Returns: Evidence from Indonesia." Advanced Science Letters 21, no. 4 (April 1, 2015): 1016–19. http://dx.doi.org/10.1166/asl.2015.5970.

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The main purpose of this research is to identify whether integration analysis for stock returns has higher predictive power compared to technical analysis and fundamental analysis alone based on research conducted in Indonesia. To fulfill the objective, the “blue chip” Indonesian companies are chosen. The research data period is 2007–2011 and taken quarterly. Technical analysis uses previous quarter return to predict current quarter returns. Fundamental analysis uses operating cash flow and price-to-book ratio. Integrated analysis combines these three variables to test the combined predictive power over current quarter stock returns. The results are compared using multiple regression analysis. Change in price-to-book ratio is significant and can help predict stock returns while previous quarter returns do not have predictive power of the next quarter returns, possibly due to the volatility in Indonesian market. Operating cash flow, while important, does not have predictive power over stock returns, possibly due to it not being an important factor in making investment decisions in Indonesia. Potential investors should understand Price-to-Book ratio and use it in any analysis concerning stock returns. They should also be prudent not to make investment decisions based on historical stock returns. Operating cash flow-generating ability is not one of the indicators the market watches out for. Integrated analysis outperforms a purely technical analysis, but not a purely fundamental analysis.
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M, Ragupathi, and Arthi B. "A study on technical analysis of s&p cnx nifty index." Journal of Management and Science 1, no. 1 (June 30, 2013): 171–81. http://dx.doi.org/10.26524/jms.2013.23.

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Technical analysts do not attempt to measure a security's intrinsic value; instead they look at stock charts for patterns and indicators that will determine a stock's future performance. The use of past performance should come as no surprise. People using fundamental analysis have always looked at the past performance of companies by comparing fiscal data from previous quarters and years to determine future growth. The difference lies in the technical analyst's belief thatsecurities move according to very predictable trends and patterns. These trends continue until something happens to change the trend, and until this change occurs, price levels are predictable. There are many instances of investors successfully trading a security using only their knowledge of the security's chart, without even understanding what the company does. However, although technical analysis is a terrific tool, most agree it is much more effective when used in combination with fundamental analysis. The technical analysis reveals the peaks, bottoms, trends, patterns and other factors affecting a stock‘s price movement and then makes buy/sell decisions based on those factors. The tools namely RSI and EMA have been used to predict the index price movement of S&P CNX Nifty.
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McDuff, Dusa, and Katrin Wehrheim. "The fundamental class of smooth Kuranishi atlases with trivial isotropy." Journal of Topology and Analysis 10, no. 01 (December 15, 2017): 71–243. http://dx.doi.org/10.1142/s1793525318500048.

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Kuranishi structures were introduced in the 1990s by Fukaya and Ono for the purpose of assigning a virtual cycle to moduli spaces of pseudoholomorphic curves that cannot be regularized by geometric methods. Their core idea was to build such a cycle by patching local finite dimensional reductions. The first sections of this paper discuss topological, algebraic and analytic challenges that arise in this program.We then develop a theory of Kuranishi atlases and cobordisms that transparently resolves these challenges, for simplicity concentrating on the case of trivial isotropy. In this case, we assign to a cobordism class of additive weak Kuranishi atlases both a virtual moduli cycle (VMC — a cobordism class of smooth manifolds) and a virtual fundamental class (VFC — a Cech homology class). We, moreover, show that such Kuranishi atlases exist on simple Gromov–Witten moduli spaces and develop the technical results in a manner that easily transfers to more general settings.
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39

Sehgal, Sanjay, and Meenakshi Gupta. "Tests of Technical Analysis in India." Vision: The Journal of Business Perspective 11, no. 3 (July 2007): 11–23. http://dx.doi.org/10.1177/097226290701100303.

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The study evaluates the economic feasibility of technical analysis in the Indian stock market. It discusses that technical indicators do not outperform Simple Buy and Hold strategy on net return basis for individual stocks. Technical indicators seem to do better during market upturns compared to market downturns. However, technical based trading strategies are not feasible vis-à-vis passive strategy irrespective of market cycle conditions. Technical indicators also do not provide economically significant profit for industry as well as economy based data. Combining fundamentals with technical information, we find, that technical indicators are more profitable for small stocks compared to big stocks and for high value stocks compared to low value stocks. However, the economic feasibility of fundamentals' based technical strategies is still questionable. Our results seem to confirm with the efficient market hypothesis.
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40

Hartono, Wendra, and Gracia Ongkowijoyo. "Financial Performance Evaluation of PT. Telekomunikasi Indonesia, Tbk. and PT. Indosat, Tbk." JOURNAL OF ACCOUNTING, ENTREPRENEURSHIP AND FINANCIAL TECHNOLOGY (JAEF) 1, no. 1 (October 1, 2019): 77–96. http://dx.doi.org/10.37715/jaef.v1i1.1000.

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Two telecommunications companies in Indonesia have their names listed in Indonesian Stock Exchange (IDX) namely, PT. Indosat, Tbk. (ISAT) and PT Telekomunikasi Indonesia (TLKM) have enlivened the telecommunication industry. This study aims to evaluate the performance of two telecommunications companies in Indonesia by assessing, comparing and analyzing fundamentally, technically and news or company policies occurred in the field during 2017 - May 2018. In Fundamental Analysis, the two companies are categorized as companies that have a good financial condition. However, in the second semester of 2017, telecommunication companies experienced a significant decline in market value, which was contrary to the fundamental analysis. If viewed from a technical perspective, this telecommunication service company has good prospects for the future. Company policy or news is also one of the determining factors for the increase or decrease in stock prices. The overall results of the study concluded that TLKM shares have a fundamental, and technical, that is better than ISAT, while news and company policies can be investors' supporting data in determining stock purchases.
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41

Sulistiawan, Dedhy. "The impact of earnings-announcement timing on technical analysis signal: The case of Indonesia." Journal of Economics, Business & Accountancy Ventura 18, no. 2 (August 28, 2015): 179. http://dx.doi.org/10.14414/jebav.v18i2.446.

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This study discusses technical analysis signal and earnings-announcements timing. Technical analysis signal is used to capture price reaction around earnings announcement dates. Technical analysis is selected because it is potential for competing information as fundamental information in emerging market, especially in Indonesian stock market. The longer reporting lag will result in a tendency of bigger information leakage which makes price reaction before announcements stronger. That reaction produces a reliable technical analysis signal. By using Indonesian stock market data, the results show that (1) technical analysis signal generates bigger (lower) return for late (earlier) reporting, and (2) reporting lag positively affects the performance of technical analysis signal that emerge before annual earnings announcements. These findings indicate a tendency of bigger information leakage for companies that delay earnings announcements. It contributes to building a bridge between technical analysis and earnings-announcement timing studies.
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42

Watanabe, Toyohide, and Masato Aoki. "Contents-Analysis Support for Better Reference to Technical Papers." Journal of Information & Knowledge Management 11, no. 04 (December 2012): 1250030. http://dx.doi.org/10.1142/s021964921250030x.

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It is not always easy, not only for beginners but also for experts, to find out newly research subjects or grasp analytically research trends (or directions). This work is one of the intelligent tasks. Traditionally, some investigations or research projects focused on the challengeable task of human-oriented creativeness: The efforts are very stable and the results make the basic framework or fundamental ideas clear one by one for strictly-constrained application of human-activity. This task is closely dependent on the global framework of knowledge management with respect to the support from human creative activity. In this paper, we discuss a computer-support method to arrange already-read papers analytically and then discuss the research topics related to currently focused research fields or research trends derived from the existing papers and researcher's interests. Our idea is to realise this paper inquiry method in three procedural steps, such as arranging paper contents, grasping relationships among papers and investigating research subjects followed by already-referred papers, and also make users interact with individually-generated results by controlling spirally three steps.
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Al-Jassar, Sulaiman. "Fundamental and Technical Trading in the Emerging Market of an Oil-Based Economy." Review of Pacific Basin Financial Markets and Policies 22, no. 01 (March 2019): 1950006. http://dx.doi.org/10.1142/s0219091519500061.

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This paper investigates the roles played by technicians and fundamentalists in the emerging stock market of Kuwait. The impact on stock prices of traders whose actions are founded on technical analysis is differentiated from the impact of traders whose actions are based on fundamental analysis. This differentiation is performed by formulating, estimating and testing a model relating changes in stock prices to the actions of fundamentalists, technicians and the government. Both technicians and fundamentalists are found to contribute to stock price determination, with the former contribution appearing more significant, even when accounting for governmental intervention. Some explanations for these findings are presented.
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44

Korneeva, I. "Factors and Trends in the Development of Institutional and Organizational Leadership in the Leading Scientific and Technical Sectors and Basic Research." Scientific Research and Development. Economics of the Firm 9, no. 1 (April 14, 2020): 20–26. http://dx.doi.org/10.12737/2306-627x-2020-20-26.

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The article is devoted to the development of institutional and organizational leadership in the leading scientific and technical sectors and fundamental research. The paper presents the characteristics of the categories “organizational leadership” and “institutional leadership”, the features of effective leadership. Methodological tools of the study: analysis of statistical sources of information. As the study showed, the formation and development of leading positions are influenced by a number of factors. Their analysis is carried out, tendencies of development of leadership in the leading scientific and technical sectors and fundamental researches are revealed. It is concluded that an important task is the choice of the country’s development in the field of science and technology. The author considers the ways in which it is possible to develop institutional and organizational leadership in the leading scientific and technical sectors and fundamental research.
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45

Medina, Prince T., Mary Caroline N. Castaño, and Tomas S. Tiu. "Equity Analysis in Buying Company Shares on the Philippine Stock Exchange." Journal of Finance and Banking Review Vol. 3 (4) Oct-Dec 2018 3, no. 4 (December 6, 2018): 60–66. http://dx.doi.org/10.35609/jfbr.2018.3.4(4).

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Objective - Less than 1% of the population in the Philippines has invested in the stock market (PSE, 2016). The Philippine Stock Exchange (PSE) has been in operation since 1927 and is one of the oldest in the Asia Pacific. The primary objective of this research is to examine the investing techniques of online users using technical and fundamental analysis. Methodology/Technique - A chi-square test is used to determine if there is a significant difference between the expected frequencies and the observed frequencies in one or more categories. The research probes the relationship of the demographic profiles of respondents and their investment behavior using the Friedman's test. Findings - The descriptive statistics show the frequency counts of 418 observations and the corresponding chi-square test for the distribution-free data. The analysis of variance by ranks was used to reflect the Friedman test for the hierarchy of perception of the respondents per given variable. The chi-square test (χ2 (df = 4, ρ = 0.001) = 53.603) shows that actual observations on the relative valuation (86, 48, 130, 99, and 55) is significantly different from a uniform fit of 84 observations at 4 degrees of freedom and 5% level of significance. Novelty – Hence, the study concluded that investors prefer a relative valuation equity selection strategy using fundamental analysis. Furthermore, the study concludes that the moving average (36, 11, 80, 95 and 196) is preferred by investors using technical analysis. Type of Paper - Empirical. Keywords: Fundamental Analysis; Technical Analysis; Investment Behavior; Philippine Stock Exchange; Relative Valuation; Moving Average. JEL Classification: G10, G14, G19.
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46

Moeyaert, Mariola, Rumen Manolov, and Emily Rodabaugh. "Meta-Analysis of Single-Case Research via Multilevel Models: Fundamental Concepts and Methodological Considerations." Behavior Modification 44, no. 2 (October 26, 2018): 265–95. http://dx.doi.org/10.1177/0145445518806867.

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Multilevel modeling is an approach that can be used to summarize single-case experimental design (SCED) data. Multilevel models were developed to analyze hierarchical structured data with units at a lower level nested within higher level units. SCEDs use time series data collected from multiple cases (or subjects) within a study that allow researchers to investigate intervention effectiveness at the individual level and also to investigate how these individual intervention effects change over time. There is an increased interest in the field regarding how SCEDs can be used to establish an evidence base for interventions by synthesizing data from a series of intervention studies. Although using multilevel models to meta-analyze SCED studies is promising, application is often hampered by being potentially excessively technical. First, this article provides an accessible description and overview of the potential of multilevel meta-analysis to combine SCED data. Second, a summary of the methodological evidence on the performance of multilevel models for meta-analysis is provided, which is useful given that such evidence is currently scattered over multiple technical articles in the literature. Third, the actual steps to perform a multilevel meta-analysis are outlined in a brief practical guide. Fourth, a suggestion for integrating the quantitative results with a visual representation is provided.
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Doudkin, Mikhail V., Adam Idzikowski, Alina I. Kim, and Franciszek W. Przystupa. "Safety of Road Roller Technical Operation Through Diagnosis." System Safety: Human - Technical Facility - Environment 1, no. 1 (March 1, 2019): 332–42. http://dx.doi.org/10.2478/czoto-2019-0043.

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AbstractSafety of road roller technical operation for safety diagnosis will be analysed. The analysis is based on the assumptions and hypotheses confirmed by fundamental-applied and experimental-theoretical works. Such modelling enables formulating commonly known diagnostic equivalent for building a real diagnose method of contacting problems of moving roller contacted with the road material.
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48

Kroes, Peter. "Technical Functions as Dispositions." Techné: Research in Philosophy and Technology 5, no. 3 (2001): 105–15. http://dx.doi.org/10.5840/techne2001531.

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The paper argues that in order to understand the nature of technological knowledge (i.e., knowledge of technical artefacts as distinct from knowledge of natural objects) it is necessary to develop an epistemology of technical functions. This epistemology has to address the problem of the meaning of the notion of function. In the dominant interpretations, functions are considered to be dispositions, comparable to physical dispositions such as fragility and solubility. It is argued that this conception of functions is principally flawed. With the help of Carnap’s analysis of dispositional terms it is shown that there is a fundamental difference between physical dispositional terms and functional dispositional terms. This difference concerns the issue of the normativity; with regard to functional dispositions, it makes sense to construct normative statements of a particular kind, with regard to physical dispositions it does not.
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49

Flores Hernandez, Ulises. "Analysis of forest wood supply chains for round-wood production restricted by technical constraints." Forest Systems 28, no. 1 (June 7, 2019): eSC01. http://dx.doi.org/10.5424/fs/2019281-14102.

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Aim of the study: Integrated information tools models are fundamental for analyzing supply chains as regards pattern of consumption and production. These models are very useful for availability estimations of natural resources when social and environmental uncertainties need to be addressed, as it is the case for forest wood supply chains. This work presents an analysis of a forest wood supply chain focusing on forest operations to estimate the availability of round-wood volume restricted by technical constraints using a local case study in Mexico. The theoretical and technical potentials of woody biomass availability were reviewed considering an assessment of forest operations for round-wood production.Area of the study: municipality of Santa Maria del Rio S.L.P. inside the forested land of San Antonio in Mexico.Material and methods: Geographical, historical and socioeconomic data and field work were used to develop technical constraints as extraction limits. Felling and extraction operations were analyzed resulting in a production rate of 2.48 m3 per productive machine hour.Main results: The theoretically produced standing timber accounted to 21,132 m3. After simulating technical constraints, the technically feasible supply of round-wood accounted to 2, 113 m3. Furthermore, a biomass flow chart for tracing biomass along the system boundaries was developed.Research highlights: With the given results, it is possible to give recommendations and conclusions for the improvement of wood supply chains supported by time studies values, technical constraints on terrain slope, harvesting intensity and mechanization level.Keywords: Mexico; modeling; forest operations; sustainable forest management.
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Christina, Christina, Sulastri Halim, Valentina Angrensia, and Arie Pratania Putri. "Analisis Fundamental dan Teknikal terhadap Harga Saham pada Perusahaan Utilitas dan Transportasi." E-Jurnal Akuntansi 31, no. 2 (February 22, 2021): 499. http://dx.doi.org/10.24843/eja.2021.v31.i02.p19.

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The purpose of this research is to known if fundamental and technical analysis could affect the price of stock. Furthermore each of analysis have several factor to determine the stock price, as for fundamental analysis we will use current ratio, DER, and ROA while for the technical analysis we will use IHSG and trading volume. From the population of 69 company we pick 18 sample that suit the analysis, for the regression it will use multiply 5 because of the independent variabel. According to the partial research, there are only two factor that have significant impact to the price of stock, it is DER And ROA, as for the rest of the factor it don’t really affect the price. Simultaneously the five variabel shown the effect to the stock price according to result of adjused r square amount of 29.1% . From the variation of stock price according to the variabel such as CR, DER , ROA. IHSG and trading volume, while the rest 70.9% affected by other factor such as company asset turnover, price earning ratio and price book value. Keywords: Current Ratio; Debt to Equity Ratio; IDX Composite; Return On Asset; Stock Price; Trading Volume.
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