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   ارزیابی سودمندی استراتژی‌‌های مومنتوم و معکوس صنعت در بازار سرمایۀ ایران  
   
نویسنده فدایی نژاد محمد اسماعیل ,فراهانی رضا ,حسین آبادی محمد
منبع مديريت دارايي و تامين مالي - 1400 - دوره : 9 - شماره : 1 - صفحه:93 -112
چکیده    یکی از روش‌های تحلیل بازار، استفاده از رویکرد استراتژی‌های مومنتوم و معکوس است؛ ازجمله استراتژی‌های مومنتوم و معکوس صنعت که سعی می‌کند با استفاده از اطلاعات گذشته، عملکرد آتی را در رابطه با بازده سرمایه‌گذاری در صنعت‌های مختلف بورس اوراق بهادار پیش‌بینی و بازده بیشتر ایجاد کند؛ بنابراین مومنتوم صنعت ادعا می‌کند صنایعی که در گذشتۀ نزدیک عملکرد و بازده خوب یا بدی داشته‌اند در آینده نیز این بازده را ارائه خواهند کرد. برای بررسی سودمندی استراتژی‌های ذکرشده، جامعۀ آماری پژوهش شامل 37 صنعت در بازۀ زمانی 1386 تا 1396 در مقاطع ماهانه بوده که در 60 استراتژی در بازه‌‌های زمانی مختلف، تشکیل و نگهداری سبدها، آزمون برابری میانگین‌های سبدها و آزمون همسانی واریانس انجام شده است. نتایج حاکی از آن است که هرکدام از این رویکردها در دورۀ زمانی مشخصی، برتر است. در قالب دوره‌های کوتاه‌تر، به‌ویژه پنج دورۀ تشکیل و نگهداری یک‌ماهه و سه‌ماهه، تشکیل نه‌ماهه و نگهداری شش‌ماهه، تشکیل 12‌ماهه و نگهداری یک‌ماهه و سه‌ماهه، مومنتوم صنعت سودمندی معناداری نسبت به معکوس صنعت داشته است؛ اما در مواردی که دورۀ نگهداری طولانی‌تر ( بیش از یک سال) می‌شود، استراتژی معکوس بازده بیشتری نسبت به استراتژی مومنتوم داشته است.
کلیدواژه استراتژی مومنتوم صنعت، استراتژی معکوس صنعت، مدیریت سبد، مالی رفتاری
آدرس دانشگاه شهید بهشتی, دانشکده مدیریت و حسابداری, گروه مدیریت مالی و حسابداری, ایران, دانشگاه علامه طباطبایی, دانشکده مدیریت و حسابداری, گروه مالی و بانکداری, ایران, دانشگاه شهید بهشتی, دانشکده مدیریت و حسابداری, گروه مدیریت مالی و حسابداری, ایران
پست الکترونیکی habadi@gmail.com
 
   Evaluation of the Profitability of Momentum and Reversal Strategies of Industry in the Capital Market of Iran  
   
Authors Fadaie Nejad Mohammad Esmaiel ,Farahani Reza ,Mhoseynabadi Mohammad
Abstract    Abstract:Momentum and reverse strategies are two influential methods of market analysis that aim to predict future performance in different industries and to generate excess returns, applying historical information. The industry momentum claims the industries experiencing good (bad) performance in the past will provide this return in the future as well. We intend to examine the usefulness of the mentioned strategies. Moskowitz and Grinblatt (1999) focused on 20 industries and labeled three industries with the highest return as winning industries and three industries with the lowest return as losing industries. Also, Grobys and Kolari (2019) selected twentieth highest and lowest return as winning and losing industries. In this study, the statistical population includes all industries in the Tehran Security Exchange, during the years 2007 to 2017. Based on this research, a diverse set of portfolios of different industries has been examined separately for winners and losers at different times, in which the winning industries are the five industries with the highest return and the losing industries are the five industries with the lowest return. After calculating the returns of the winning and losing industries every month in 37 industries, quarterly, sixmonth, twelvemonth, and twentyfourmonth cumulative returns have been calculated as a sample and used to perform the tests. The general hypothesis of the research is that the return of the previous winner portfolios formed in the Fi period and holding in the Hj period is equal to the return of the previous loser portfolios formed in the Fi period and holding in the Hi period. The method of testing the hypothesis of this research is the test of comparing the means of two societies for two momentary and reverse industry strategies. To compare the returns of strategies, ttest and Leven variance homogeneity test were used, and to test the hypotheses, SPSS software was used. Comparison of 30 different scenarios of portfolio returns in different formation and holding periods indicates that out of 30 cases, in 22 cases the industry momentum strategy is superior, which has happened often in shorter periods. For example, during the onemonth formation and holding period (F1, H1) of the portfolio, the momentum strategy at the 95% confidence level is more profitable than the reverse strategy. In addition, in 8 cases, the reverse momentum of the industry has been more useful, most of which occurred in the holding periods of one year or more. Comparisons show that, with increasing the period of portfolio formation, the returns of these two strategies are balanced and gradually in the holding periods of one year and more, the superiority of the reverse momentum strategy is evident. In total, in 8 cases, the difference in the profitability of the two strategies is significant, and in 5 cases are related to the momentum strategy, consisted of periods (F1, H1), (F1, H3), (F9, H6), (F12, H1), (F12, H3) and in other periods including (F3, H24), (F9, H24) and (F12, H24) reverse strategy had a significant advantage. The statistical sample of this study consists of 37 industries in the period from 2007 to 2017 in monthly periods, applying 60 strategies in terms of Formation and Hold of portfolios in diverse periods. To investigate the profitability of such strategies, the equality of means hypotheses and the homogeneity of variance test were examined. The results indicate that each of these approaches is superior over a certain period. In some shorter periods, the momentum of the industry has excess returns than the reverse industry; however, when the Hold period is longer than one year, the reverse strategy tends to be more profitable than the momentum strategy. In similar studies, Moskowitz and Grinblatt (1999) showed that in shorter periods, only the momentum profitability of the industry is higher. Grobys and Kolari (2019) also concluded that industry portfolios that had more returns in forming periods significantly had higher returns in the forming periods than portfolios that performed poorly in the period. The main finding of Huberg and Philips ‌ (2018) also indicates the momentum profitability of the industry. The results of the present study also reveal that in most of the shorter periods, the industry momentum has been more profitable than the industry reverse momentum, which is consistent with the results of the above researches, although this advantage is not statistically significant in all cases.Keywords: Industry momentum strategy, Industry reveres strategy, Portfolio management, Behavioral finance. Introduction:There are two important and practical strategies among individual and institutional investors, analysts and, market participants, the momentum strategy of industry and the reverse of industry. Generally, according to the momentum strategy, the positive or negative of past returns will continue for a period of the future. According to the reverse strategy, Investors are likely to make mistakes since recent price trends are reversing. In these strategies, future performance is tried to create more return by using the past, predicted performance. These strategies are opposed to the market efficiency hypothesis, as the return on stock at different times has a special behavior and investors can get more returns than market returns without bearing more risk and only by using the right investment strategy. Material Methods:In this survey, the statistical population includes all industries in the Iranian capital market during the years 2007 to 2017. Based on the available data, a diverse portfolio of different industries of winners and losers in different times has been examined. The winner industries are the five industries that have the highest returns and the loser industries are the five industries with the lowest returns, in which the weighted average of the companies in each industry is taken into account in terms of cash inflows. The portfolio returns of past winners formed in period (F) and held in period (H) is equal to the portfolio returns of past losers formed in period F and held in period H. Of course, this hypothesis, due to the different periods F and H, includes more subhypotheses, each of which will be tested in this survey. Finding:Based on the comparison and test of the average returns of momentum and reverse strategies in different periods of Form and Hold, the results obtained are given in the table below. In a comparison of each scenario, the superior strategy is identified, and in cases where the average return of the strategy is significantly different at the level of 95% and 99% confidence interval, is marked with(*) and(**). Summary of strategy scenarios based on average return of portfoliosH24H12H9H6H3H1 reversemomentummomentummomentummomentum *momentum *F1reverse *momentummomentummomentummomentummomentumF3reversemomentummomentummomentumreversereverseF6reverse **momentummomentummomentum *momentummomentumF9reverse **reversemomentummomentummomentum *momentum *F12 Conclusions Results:     In this study, the profitability of two momentum and reverse industry strategies is evaluated and compared.
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