Academic literature on the topic 'Jegadeesh and Titman'

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Journal articles on the topic "Jegadeesh and Titman"

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Zhang, Hanxiong, and Andrew Urquhart. "Do momentum and reversal strategies work in commodity futures? A comprehensive study." Review of Behavioral Finance 12, no. 4 (2020): 375–409. http://dx.doi.org/10.1108/rbf-05-2019-0067.

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PurposeMotivated by the debate on the patterns and sources of commodity futures returns, this paper investigates the performance of three investment trading strategies, namely, the momentum strategy of Jegadeesh and Titman (1993), the 52-week high momentum strategy of George and Hwang (2004) and the pairs trading strategy of Gatev et al. (2006) in the commodity futures market.Design/methodology/approachThe three strategies are those given by Jegadeesh and Titman (1993), George and Hwang (2004) and Gatev et al. (2006), respectively.FindingsThe authors find that there is no significant reversal profit across 189 formation-holding windows for all the three strategies. However, there are statistical and economically significant momentum profits, and the profitability increases with the rising of formation-holding periods. Momentum returns are quite sensitive to market conditions but the crash of momentum returns is partly predictable. Return seasonality, risk and herding also provide partial explanation of the momentum profits.Originality/valueThe authors are the first to compare the performances of the pairs trading strategy of Gatev et al. (2006), the conventional momentum of Jegadeesh and Titman (1993), and the 52-week high momentum of George and Hwang (2004) under 189 formation-holding windows. Also, the authors are the first to investigate the association between herding behaviour and momentum returns in the commodity futures market.
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Günther, Steffen, Christian Fieberg, and Thorsten Poddig. "The Cross-Section of Cryptocurrency Risk and Return." Vierteljahrshefte zur Wirtschaftsforschung 89, no. 4 (2020): 7–28. http://dx.doi.org/10.3790/vjh.89.4.7.

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Summary: We analyze the cross-section of more than 1200 cryptocurrencies derived from 350 exchanges in the time period from January 2014 to June 2020. Specifically, we investigate whether well-known cross-sectional characteristics like beta (Fama/MacBeth (1973)), size (Banz (1981)) or momentum (Jegadeesh/Titman (1993)) – which have been intensively investigated in the equities literature – explain the cross-section of cryptocurrency returns. We apply the monotonic relationship (Mr.) test developed by Patton and Timmermann (2010) to test for dependencies between characteristics and average portfolio returns and standard deviations. We extend the existing literature on cryptocurrencies showing that there are various characteristics which are able to explain cryptocurrency risk and return. Zusammenfassung: Wir untersuchen den Querschnitt von über 1200 Kryptowährungen, gesammelt von 350 Handelsplätzen, in der Zeitspanne von Januar 2014 bis Juni 2020. Im speziellen untersuchen wir, ob weit verbreitete Charakteristika, wie Beta (Fama/MacBeth (1973)), Size (Banz (1981)) oder Momentum (Jegade‍esh/Titman (1993)) – die bereits intensiv in der Aktienliteratur untersucht werden – den Querschnitt der Kryptowährungsrenditen erklären können. Wir verwenden den Monotonic Relationship (MR) Test von Patton und Timmermann (2010) um auf Abhängigkeiten zwischen Charakteristika und durchschnittlichen Portfoliorenditen sowie Standardabweichungen zu testen. Wir erweitern die bestehende Literatur, indem wir zahlreiche Charakteristika identifizieren, die Risiko und Renditen von Kryptowährungen erklären können.
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R. Elhaj, Malik, and Shah Chowdhury. "Presence of Contrarian Profits in the Jordan Stock Market." International Business Research 11, no. 10 (2018): 79. http://dx.doi.org/10.5539/ibr.v11n10p79.

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Since the late 1980’s academicians have confirmed the presence of various forms of return regularities in stock returns. Two most well-known return regularities are contrarian and momentum profits. This paper – using monthly data for the period 2000 through 2016 – examines the presence of both contrarian profits and their sources in the Jordan stock market. The paper uses the methodology of Lo and MacKinlay (1990) and Jegadeesh and Titman (1995) to examine the presence of contrarian returns as well as the sources of such returns. Unlike other emerging markets where strong contrarian profits are found, Jordan market shows relatively weaker presence of contrarian profits. Moreover, time-series pattern – which is related to specific factors, is considered the main source of contrarian profits.
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Chaouachi, Olfa, and Fatma Wyème Ben Mrad Douagi. "THE MOMENTUM EFFECT: ANOMALY OR ILLUSION." Indian Journal of Finance and Banking 4, no. 4 (2020): 20–29. http://dx.doi.org/10.46281/ijfb.v4i4.900.

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This paper tests the effectiveness of the momentum strategy for different time horizons between April 2013 and March 2020 and its sources in the Tunisian stock market. The findings display that, employing the methodology of Jegadeesh and Titman (1993), momentum strategy for all time horizons are positive and statistically significant. In the explanation section of the momentum effect, it is found that the momentum is not an illustration of the January effect and that both models (Capital Asset Pricing Model and the model of Fama and French (1993)) are unable to fully capture the profit of momentum strategy. However, we find that trading costs in the form of quoted spread eliminate the statistical significance of the momentum return. Therefore, an investor can’t make a profit by exploiting the momentum strategy in the Tunisian context.
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Kouki, Mondher, and Mosbeh Hsini. "The Reversal of Stock Market Trends as a Behavioral Bias: Evidence from Tunisian Stock Exchange." Business and Economic Research 6, no. 2 (2016): 13. http://dx.doi.org/10.5296/ber.v6i2.9326.

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This paper examines the behavioral bias in Tunisia, a country with a small stock market in terms of capital, but surprisingly dynamic in comparison to other emerging markets. Our study is consistent with Jegadeesh & Titman (1993)’ approach as presented to highlight an analysis of such reversal phenomena of portfolio returns, and provides explanatory factors to the so-called market trends reversal. The empirical investigation is based on a weekly database for a period from January 2002 to January 2013 related to stock prices and index values of market capitalization (TUNINDEX). The empirical test demonstrates the existence of winner-loser phenomenon in accordance with over-reaction hypothesis stating that portfolios with the worst past performance outperform, during the subsequent periods, those having produced best past performance and vice versa.
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Choudhry, Taufiq, and Yuan Wu. "Momentum phenomenon in the Chinese Class A and B share markets." Review of Behavioral Finance 7, no. 2 (2015): 116–33. http://dx.doi.org/10.1108/rbf-06-2014-0032.

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Purpose – The purpose of this paper is to investigate the momentum phenomenon in two market segments of the Chinese stock market – the Class A share market and Class B share market over time period spanning from January 1996 to December 2010. Design/methodology/approach – The authors largely follow Jegadeesh and Titman (1993) paper; the authors decompose the momentum returns following the procedure first proposed by Jegadeesh and Titman (1995). In addition, a liquidity factor (Pastor and Stambaugh, 2003) and a share ownership factor (Wang and Xu, 2004) are incorporated in the procedure to gauge the contribution of liquidity and the dynamics of share ownership towards the momentum returns, respectively in the two segments of the Chinese stock market. Findings – The authors find compelling evidence showing distinctively different momentum phenomena exist in the two market segments of the Chinese stock market. Specifically, the momentum phenomenon is more pronounced in the Chinese Class A share market compared to those found in the Chinese Class B share market. Through decomposing the momentum returns, the authors find evidence showing the dismal momentum returns observed in the Class B share market can be attributed to markedly weakened contributions of the liquidity factor and the share ownership factor. Research limitations/implications – Relatively short sample time horizon compared to the most of major financial markets such as USA and UK. The number of B shares has been rather limited. Practical implications – Subsequent to the opening of the Chinese Class B share market to domestic investors in 2001 and the opening of the Chinese Class A share market to qualified foreign institutional investors (QFII) in 2003, the empirical evidence found in this study provides a crucial reference point for domestic and foreign portfolio strategists in guiding them to form suitable portfolio strategies concerning investments in a nascent financial market such as the Chinese stock market, fraught with volatility and speculative trading behaviour. Social implications – It offers a comprehensive view of the momentum phenomenon in the Chinese Class A and B share markets over the sample period from January 1996 to December 2010. Second, the reasons behind the dichotomy of the momentum returns found in the two market segments were investigated through decomposing the momentum returns based on Jegdeesh and Titman’s (1995) method while incorporating three new explanatory factors – the liquidity factor, share ownership factor and the under reaction towards firm-specific news factor. Originality/value – A couple of extant papers have visited the topic before. yet this paper offers more comprehensive view on the existence of momentum premium in both Chinese Class A and B share markets and investigates the driving forces behind the subdued momentum returns observed in the B share market.
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Assogbavi, Tov, Martin Giguere, and Komlan Sedzro. "The Impact Of Trading Volume On Portfolios Effective Time Formation/Holding Periods Based On Momentum Investment Strategies." International Business & Economics Research Journal (IBER) 10, no. 7 (2011): 1. http://dx.doi.org/10.19030/iber.v10i7.4662.

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This paper analyzes momentum investment strategies based on past market data to evaluate the impact of trading volume on price momentum for the Canadian Stock Market. Utilizing variant models of Jegadeesh and Titman (1993) and Lee and Swaminathan (2000), we evaluate the effective time formation/holding periods of portfolios using both past price and trading volume. The findings suggest that taking high trading volume into consideration in momentum investment strategies on the TSX between 1996 to 2004 generally outperformed a strictly price-based momentum strategy for both winners (t= 2.118, p< .05) and losers (t= 2.174, p< .05). The most effective time period for a winning-high-volume portfolio was nine months of formation, starting in April and a 3-month holding period. The holding period is shorter by six months compared to what is suggested by Assogbavi, et al. (2008). In addition, high-volume portfolios consistently bettered low-volume portfolios for both winners (t= 4.121, p< .001) and losers (t= 3.956, p< .001). For investors who base their portfolio construction on momentum investment strategies, these findings suggest that it would be wise to incorporate past trading volume in their selection process.
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Maheshwari, Supriya, and Raj S. Dhankar. "Market State and Investment Strategies: Evidence from the Indian Stock Market." IIM Kozhikode Society & Management Review 7, no. 2 (2018): 154–70. http://dx.doi.org/10.1177/2277975218769501.

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This study contributes to the growing literature on momentum and overreaction effect by investigating the same within the framework of the Indian stock market. Based on the most adopted methodology that employs monthly data, the empirical results derived confirm the existence of momentum and long-term overreaction effect in the Indian stock market. The overall results from the study are consistent with DeBondt and Thaler (1985) and Jegadeesh and Titman (1993) findings for the US stock market. In addition, we tested the profitability of momentum and contrarian strategies under different market states. The results indicated a strong relationship between the state of the market and momentum profitability, wherein strong momentum profits were observed following an ‘up’ market. On the contrary, long-term contrarian strategies were found to be stronger following a ‘down’ market in the Indian stock market. The market-dependent asset pricing model failed to explain excess momentum profits in the Indian stock market. The evidence from the study provides partial support to various behavioural models to explain these effects in the Indian stock market. However, there exists a need to develop a single behavioural model that could explain these anomalies completely in the emerging markets like India.
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Chowdhury, Shah Saeed Hassan, Rashida Sharmin, and M. Arifur Rahman. "Presence and Sources of Contrarian Profits in the Bangladesh Stock Market." Global Business Review 20, no. 1 (2018): 84–104. http://dx.doi.org/10.1177/0972150918803992.

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This article, using weekly data for the period 2002 through 2013, investigates the presence of both contrarian and momentum profits and their sources in the Bangladesh stock market. It follows the methodology of Lo and MacKinlay ( Review of Financial Studies, 1990, 3(2), 175–205) to form portfolios with a weighted relative strength scheme (WRSS). The methodology of Jegadeesh and Titman ( Review of Financial Studies, 1995, 8(4), 973–993) is used to decompose the contrarian/momentum profits into three elements: compensation for cross-sectional risk, lead–lag effect in time series with respect to the common factor and the time-series pattern of stock returns. Results provide the evidence of significant contrarian profits for the holding period of one through eight weeks. There is a stronger presence of contrarian profits during 2002–2008 sub-period. The time-series pattern is found to be the main source of contrarian profits, suggesting that idiosyncratic (firm-specific) information is the main contributor to contrarian profits. Interestingly, the influence of idiosyncratic information on such profits has gradually decreased since 2008. Contrarian profits are robust to market sentiment and other systematic risk factors.
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Hou, Tony Chieh-Tse, Phillip McKnight, and Charlie Weir. "Returns to buying upward revision and selling downward revision stocks." Managerial Finance 42, no. 11 (2016): 1110–24. http://dx.doi.org/10.1108/mf-10-2015-0282.

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Purpose The purpose of this paper is to investigate the role of earnings forecast revisions by equity analysts in predicting Canadian stock returns Design/methodology/approach The sample covers 420 Canadian firms over the period 1998-2009. It analyses investors’ reactions to 27,271 upward revisions and 32,005 downward revisions of analysts’ forecasts for Canadian quoted companies. To test whether analysts’ earnings forecast revisions affect stock return continuation, forecast revision portfolios similar to Jegadeesh and Titman (2001) are constructed. The paper analyses the returns gained from a trading strategy based on buying the strong upward revisions portfolio and short selling the strong downward revisions portfolio. It also separates the sample into upward and downward revisions. Findings The authors find that new information in the form of analyst forecast revisions is not impounded efficiently into stock prices. Significant returns persist for a trading strategy that buys stocks with recent upward revisions and short sells stocks with recent downward revisions. Good news is impounded into stock prices more slowly than bad news. Post-earnings forecast revisions drift is negatively related to analyst coverage. The effect is strongest for stocks with greatest number of upward revisions. The introduction of the better disclosure standards has made the Canadian stock market more efficient. Originality/value The paper adds to the limited evidence on the effect of analyst forecast revisions on the returns of Canadian stocks. It sheds light on the importance of analysts’ earnings forecast information and offers support for the investor conservatism and information diffusion hypotheses. It also shows how policy can improve market efficiency.
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Dissertations / Theses on the topic "Jegadeesh and Titman"

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Vilbern, Marcus. "The Momentum Effect: Evidence from the Swedish stock market." Thesis, Uppsala University, Department of Economics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-9256.

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<p>This thesis investigates the profitability of the momentum strategy in the Swedish stock market. The momentum strategy is an investment strategy where past winners are bought and past losers are sold short. In this paper Swedish stocks are analyzed during the period 1999 – 2007 with the approach first used by Jegadeesh and Titman (1993). The results indicate that momentum investing is profitable on the Swedish market. The main contribution to the profits is derived from investing in winners while the losers in most cases do not contribute at all to total profits. The profits remain after correcting for transaction costs for longer termed strategies while they diminish for the shorter termed ones. Compared to the market index, buying past winners yield an excess return while short selling of losers tend to make index investing more profitable. The analysis also shows that momentum can not be explained by the systematic risk of the individual stocks. The evidence in support of a momentum effect presented in this thesis also implies that predictable price patterns can be used to make excess returns; this contradicts the efficient market hypothesis.</p>
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Book chapters on the topic "Jegadeesh and Titman"

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Müller, Birgit Charlotte. "Cross-Country Composite Momentum." In Three Essays on Empirical Asset Pricing in International Equity Markets. Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-35479-4_2.

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ZusammenfassungMedium-term price continuation, commonly defined as momentum, is a widespread phenomenon in financial markets. It exists for individual stocks (Jegadeesh and Titman, 1993), for industry sectors (Moskowitz and Grinblatt, 1999), for style portfolios (Lewellen, 2002), in international equity markets (Rouwenhorst, 1998; Chui et al., 2010), and across asset classes (Bhojraj and Swaminathan, 2006; Menkhoff et al., 2012; Asness et al., 2013). Momentum also appears to be persistent over time, at least outside the U.S. stock market (Jegadeesh and Titman, 2001; McLean and Pontif, 2016; Green et al., 2017; Jacobs and Müller, 2020).
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Orlović, Zrinka, Zrinka Lovretin Golubić, and Davor Zoričić. "Momentum Investing Across Different Asset Classes." In Recent Applications of Financial Risk Modelling and Portfolio Management. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5083-0.ch015.

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Instead of traditionally looking at investing in different types of asset classes in order to exploit diversification effects, investors are turning to the underlying performance drivers built-in in many asset classes – factors. The intuition is that assets earn risk premiums because they are exposed to underlying risk factors. Factor models were developed as a simplification and continuation of diversification principle and mean-variance efficiency introduced by Harry Markowitz. This chapter will focus on one of the standard investment and cross section factors called momentum. It became very popular since 1993 when Jegadeesh and Titman documented that strategies that buying stocks that have performed well in the past and selling stocks that have performed poorly generate significant positive returns. This chapter aims to provide an introduction to factor models development and momentum effects on stock and bond markets – description of methodology and detailed literature overview.
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