Investigating the relationship between company size, the ratio of book value to market value and the volume of transactions with momentum and reverse profits in the Iranian capital market

Number of pages: 168 File Format: word File Code: 29767
Year: 2011 University Degree: Master's degree Category: Librarianship
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  • Summary of Investigating the relationship between company size, the ratio of book value to market value and the volume of transactions with momentum and reverse profits in the Iranian capital market

    Dissertation for Master's Degree

    Major: Accounting

    Abstract:

    Several studies have proven that stock returns perform differently in different short-term, medium-term, and long-term time horizons. Two important and widely used strategies among analysts, portfolio managers and other investors in the current capital markets of the world are the reverse strategy and the momentum strategy. In both of these strategies, which are exactly opposite to each other, they try to predict future performance and create additional efficiency by using past performance. That is, securities that have experienced good (bad) performance in the past tend to continue this good (bad) performance in the future. While the existence of momentum in stock returns has been proven, and despite the fact that the usefulness of momentum is not so controversial, the exact drivers of this effect remain as an empirical question, and the issue of what factors can be the exact drivers of momentum is not clear.

    In this research, using the financial information of 70 companies admitted to the Tehran Stock Exchange during the years 1380-1387, the relationship between momentum and inverse profits with size and value ratio Book value of the company's market value and the volume of the company's transactions have been investigated using multivariate regression models based on combined data. The research findings indicate that there is no significant relationship between company size and momentum profits, and there is no significant relationship between company size and reverse profits except for the 24-month holding period. There is no significant relationship between the ratio of book value to market value (BV/MV) and momentum profits in all periods of maintenance and formation, but there is a significant relationship between the ratio of book value to market value (BV/MV) and reverse profits in all periods of maintenance and formation except for periods of maintenance and formation of 6 months. Regarding the volume of the company's transactions, it can also be said that there is a significant relationship between the volume of transactions and profits of momentum in the periods of 6 months of formation and maintenance and this relationship in the 12 periods And 24 months of formation and maintenance is not significant, while there is a significant relationship between the volume of the company's transactions and reverse profits in 24 months of formation and maintenance. And there is no significant relationship in the 6 and 12 month formation and holding periods.

    Keywords: momentum profit, reverse profit, winning stock, losing stock, size, ratio of book value to market value, volume of transactions.

     

     

     

     

     

     

     

     

     

     

     

     

     

     

     

    Chapter One

    General Research

     

     

     

     

     

     

     

     

     

     

     

     

    1-1 Introduction

      In the efficient capital market, the flow of information with high volume regularly enters It has persisted and investors react rationally to new information. The rational reaction of investors causes the price of securities to be adjusted to reach the real values ??[1] (intrinsic). The people involved in the market cannot rely on past information or their personal skills to get more returns from the market, and because information enters the market randomly; It is not possible to predict the price trend of securities even in the near future. Therefore, investors cannot increase their investment returns by using a specific investment strategy such as "momentum" [2] and "reverse" [3] relative power investment strategies, in such a market, using a specific investment strategy to identify profitable investments will fail. The studies conducted in recent years have challenged many assumptions of modern financial theory, one of the most challenging observations in financial markets is that, unlike the efficient market hypothesis [4] which is the basis of many theories presented in modern financial theory, the return of ordinary shares has a special behavior in different time frames and individual investors can obtain more returns than the market return without bearing more risk and only by applying the appropriate investment strategy.In most stock markets of the world, researchers have conducted extensive studies on the effectiveness of various investment strategies. Currently, in the capital markets of the world, two trading and portfolio management strategies that are widely used and their usefulness in creating additional returns have been confirmed in numerous studies are the momentum and reverse strategies. These strategies are opposed to the efficient market hypothesis, so verifying the usefulness of these strategies and considering the effective factors in explaining these strategies can create a fundamental challenge to the modern financial theory and the discussion of market efficiency. 2-1. Study history

    A rich and considerable literature on the ability to predict cross-sectional stock returns based on past returns has been documented in the financial literature.

    Jigadish and Titman (1993) reported that the strategy of buying winning stocks [5] and selling losing stocks [6] in the past can generate significant additional returns. They discovered this result based on the formation of portfolios based on past returns in the period 1965-1989. Their method was that they classified stocks into ten deciles based on the past three to twelve months' returns, and then formed ten portfolios with equal weight, and set their strategy to buy the winning deciles and sell the losing deciles, and showed that additional returns were created (Jigadish and Titman [7], 1993, p. 89).

    Conrad and Cole (1998) with the success of a long-term study in the United States reversed strategy reported in the long term and the momentum strategy in the short term. They stated that the success of these strategies depends on the target horizon. While the momentum strategy was beneficial for a medium-term period of three to twelve months, the reversal strategy was suitable for a short-term weekly or monthly period or a long-term horizon of three to five years. They argued that momentum profits arise only because of cross-sectional differences in expected returns rather than the time series pattern of returns. They argued that momentum gains could be a byproduct of some stocks becoming riskier due to a series of unknown risk factors. In other words, if additional returns are created due to higher (lower) unknown systematic risk, then stocks will reach this higher (lower) range in the future. With this attitude, other gains of momentum are compatible with the discussion of efficiency and the contradiction disappears. (Conrad and Cole,[8] 1998, p. 489).

    The recent findings of Jagadish and Titman (2001) criticize this hypothesis (Conrad and Cole). They argue that if momentum gains are due to cross-sectional differences in returns, then past winners (past losers) should continue their higher (lower) returns indefinitely into the future. But they concluded that the return of momentum portfolios (winners minus losers) is positive only for the first twelve months after the formation of the portfolio, and if nothing special happens, the return after twelve months is negative (Jagadish and Titman [9], 2002, pp. 265-243).

    Markowitz and Greenblatt (1999) discovered a strong and stable momentum effect among industries. They showed that the strategy of buying past winning stocks and selling past losing stocks is beneficial even after controlling for effect size, ratio of book value to market value, momentum of individual stocks and dispersion in average returns. Winners perform better than loser portfolios and showed that the persistence of returns is inversely related to the size of the company (Raven Horst[11], 1998, p. 267).

    De Bont and Thaler[12] (1985, 1987) proved the existence of a reversal or price reversal in the stock price in the long term and suggested that buying past losers and selling past winners can lead to excess returns. They showed that historical losers outperform historical winners. Greenblatt and Titman (1989) discovered additional profits using the momentum strategy, but observed that momentum profits disappear in the first year after the portfolio is formed (Greenblatt and Titman [13], 1989, p. 394). Stein [14] (1999) hypothesized that momentum arises from the gradual release of firm-specific information.

  • Contents & References of Investigating the relationship between company size, the ratio of book value to market value and the volume of transactions with momentum and reverse profits in the Iranian capital market

    List:

    Abstract: 1

    Introduction: 2

    Chapter One: Research Overview

    1-1 Introduction 4

    2-1. Study history. 5

    3-1. Statement of the problem and definition of the research topic. 10

    4-1. Theoretical framework of research. 12

    5-1. Research assumptions. 13

    6-1. The importance and necessity of research. 13

    7-1. Research objectives. 14

    8-1. Study limits. 14

    1-8-1 The spatial territory of research. 14

    2-8-1 Time domain of research. 14

    3-8-1 Subject area of ??research. 15

    9-1. Definition of key words and terms. 15

    Chapter Two: Review of Research Literature

    1-2 Introduction 18

    2-2. Portfolio theory. 19

    3-2. Standard financial theory 21

    1-3-2. Efficient market hypothesis 22

    2-3-2. Efficient capital market theory 22

    3-3-2. Capital asset pricing model (CAPM) 23

    4-3-2. Fama-French three-factor model. 24

    4-2. Financial exceptions. 25

    1-4-2. Profit announcements 25

    2-4-2. Long-term return. 26

    3-4-2. Short-term trends. 26

    4-4-2. Size effect 26

    5-4-2. Price prediction power with financial ratios. 27

    6-4-2. The power of predicting news and events of companies 27

    7-4-2. Assuming rationality of investors. 28

    8-4-2. Reacting to irrelevant information. 28

    9-4-2. The effect of January 29

    10-4-2.-The effect of the days of the week 29

    5-2. Behavioral finance. 29

    1-5-2. Limitation on Arbitrage and Expectation Theory. 31

    1-1-5-2. loss aversion 34

    2-1-5-2. Mental accounting. 34

    3-1-5-2. Personal control. 34

    4-1-5-2. No regrets 34

    2-5-2. Cognitive psychology and meta-initiative decision-making processes. 35

    1-2-5-2. Representation. 36

    2-2-5-2. Overconfidence 36

    3-2-5-2. Anchoring. 37

    4-2-5-2. The sophistry of speculators. 37

    5-2-5-2. Web availability. 37

    6-2. Implicit concepts of behavioral finance in financial markets and efficient market hypothesis 38

    7-2. Momentum and reversal investment strategies. 39

    1-7-2. Definitions and thematic literature. 39

    1-1-7-2. Reverse strategy. 40

    2-1-7-2. Momentum Strategy 41

    2-7-2. Efficiency analysis 42

    3-7-2. Sources of momentum and reversal profits. 44

    1-3-7-2. Behavioral explanations. 44

    1-1-3-7-2. Reverse strategy. 48

    2-1-3-7-2. Momentum Strategy 50

    1-2-1-3-7-2. Profit momentum 50

    2-2-1-3-7-2. Industry momentum. 51

    3-2-1-3-7-2. Price momentum. 52

    4-2-1-3-7-2. Analyst coverage. 52

    5-2-1-3-7-2. Size 53

    6-2-1-3-7-2. The ratio of book value to market value. 54

    7-2-1-3-7-2. Transaction volume. 55

    2-3-7-2. Risk-based explanations. 56

    1-2-3-7-2. Reverse strategy. 56

    1-1-2-3-7-2. microstructure distortions. 57

    2-2-3-7-2. Momentum strategy 59

    8-2. Internal research related to the research topic. 60

    9-2. Summary of the second chapter 62

    Chapter three: research implementation method

    1-3 introduction 65

    2-3 research questions and hypotheses. 65

    1-2-3 research hypotheses. 67

    3-3. Research method. 67

    1-3-3. Estimation of regression model with mixed data. 68

    4-3. Population and statistical sample. 69

    5-3. Method of collecting information. 70

    6-3. Research implementation model. 71

    7-3. How to calculate operational research variables: 71

    1-7-3. Company size. 71

    2-7-3. Ratio of book value to stock market value (BV/MV) 72

    3-7-3. Volume of stock market transactions (TV) 72

    4-7-3. Momentum profit 73

    5-7-3. Reverse profit. 73

    8-3. Research method. 73

    1-8-3. Stock return rate: 73

    2-8-3. Forming period - maintenance period. 76

    3-8-3. Classification based on size 79

    4-8-3. Classification based on the ratio of book value to market value (BV/MV) 80

    5-8-3 Classification based on trading volume (Trading VOLUME. 80

    9-3. Method of testing research hypotheses. 81

    1-9-3. Test of significance of regression coefficients: t-test 81

    2-9-3. Regression test. 82

    3-9. Regression significance test

    3-9. Adjusted coefficient of determinationAdjusted coefficient of determination 83

    6-9-3. Durbin-Watson's test to check the presence of autocorrelation. 84

    10-3. Summary of the third chapter 85

    Chapter four: data analysis

    1-4 Introduction 87

    2-4. Research findings. 87

    1-2-4. Amartosaifi. 87

    2-2-4. Inferential statistics. 89

    1-2-2-4. The result of the first research hypothesis test based on 6, 12 and 24 month formation and maintenance periods 89

    2-2-2-4. The result of the second research hypothesis test based on 6, 12 and 24 month formation and maintenance periods 91

    3-2-2-4. The result of the third hypothesis test of the research based on the formation and maintenance periods of 6, 12 and 24 months 94

    3-4-2-4. The result of the fourth research hypothesis test based on the formation and maintenance periods of 6, 12 and 24 months 96

    4-2-2-4. The result of the test of the fifth hypothesis of the research based on the formation and maintenance periods of 6, 12 and 24 months 98

    5-2-2-4. The result of the sixth research hypothesis test based on the formation and maintenance periods of 6, 12 and 24 months 101

    3-4. Summary of the fourth chapter 103

    Chapter five: conclusions and suggestions

    1-5 Introduction 105

    2-5. Summary of the topic and research method. 106

    3-5. Summary of research findings. 107

    1-3-5. The result of the first research hypothesis test. 107

    2-3-5. The result of testing the second hypothesis of the research. 107

    3-3-5. The result of the third research hypothesis test. 108

    4-3-5 The result of the fourth research hypothesis test. 108

    5-3-5 The result of the fifth research hypothesis test. 108

    6-3-5. The result of the test of the sixth hypothesis of the research. 109

    4-5. conclusion 109

    5-5. Comparative review of findings 110

    6-5. Suggestions 112

    1-6-5. Presenting a proposal based on the results of the research. 112

    1-1-6-5. For investors. 112

    2-1-6-5. For officials. 112

    2-6-5. Providing suggestions for future research. 113

    7-5. Research limitations. 113

    8-5 chapter summary. 114

    Appendices

    Sources and sources

    Persian sources: 147

    Latin sources: 148

    Latin summary. 152

    Source:

     

    Persian sources:

    Telangi, M., 1383 "Comparison of modern financial theory and behavioral finance", Journal of Financial Research, University of Tehran, No. 17, pp. 3-25

    Telangi, M., Ali Rai, 1383, "Advanced Investment Management", Journal of Financial Research, University of Tehran, pp. 112-120

    Demouri, D., Saeed Saeedah and Ahmed Fala Hazadeh Abargoui, "Investigation of investors' overreaction to the past performance patterns of companies listed on the Tehran Stock Exchange", Accounting and Auditing Review Quarterly, 2017, 54, 15, 47-62

    Saeidi. 1386, "Behavioral Finance", Bourse Monthly, No. 69, page 4-9

    Shafiei.A, 1386, "Evaluation of the Profitability of Momentum Investment Strategy in Tehran Stock Exchange", Master's Thesis, Faculty of Management, University of Tehran.

    Fadainejad. M.A., Mohammad Sadeghi. 2019, "Evaluation of the usefulness of momentum and reversal strategies in Tehran Stock Exchange", page 1-19, site source (www.rdis.ir)

    Farhanian. M.J, 1386, "Foresight Theory," Borse Monthly, No. 69, page 18-23.

    Qalibaf Asl, H., Shahabuddin Shams, and Mohammad Javad Sadeh Vand, 1389, "Examination of the additional yield of profit and price acceleration strategy in Tehran Stock Exchange", Accounting and Auditing Reviews, 61, 17, pp. 99 to 116

    Gujrati, D., translated by Hamid Abrishmi, 2015, "Basics of Econometrics", second volume, fourth edition, Tehran University Press.

    Mehrani, S., and Ali Akbar Nonhal Nahr., 2016, "Assessment of the reaction of investors less than expected in Tehran Stock Exchange". Accounting and Auditing Quarterly, 54, 15, 117-136

    Nik Bakht.M, Mahmoud Moradi. 2014, "Evaluation of overreaction of ordinary shareholders in Tehran Stock Exchange", Tehran University Accounting and Auditing Review, No. 40, page 97-122.

    Nikbakht, M. R., and Mehdi Moradi, 1384, "Evaluation of overreaction of ordinary shareholders in Tehran Stock Exchange", Accounting and Auditing Reviews, No. 40, pp. 97-122

    Latin sources:

    Antoniou A., Galariotis E. C., Spyros I. S. (2006), "Short-term Contrarian Strategies in the London Stock Exchange: Are they profitable? Which factors affect them? "Journal of Business Finance and Accounting, vol. 33. no. 5&6, p.p. 839–867.

Investigating the relationship between company size, the ratio of book value to market value and the volume of transactions with momentum and reverse profits in the Iranian capital market