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Author: Cameron Peng Publisher: ISBN: Category : Languages : en Pages : 48
Book Description
We show that mutual funds contribute to cross-sectional momentum and excess volatility through positive feedback trading. Stocks held by positive feedback funds exhibit much stronger momentum, almost doubling the returns from a simple momentum strategy. This “enhanced” momentum is robust to alternative measures of positive feedback trading and cannot be explained by other stock characteristics, ex-post firm fundamentals, fund flows, or herding. Moreover, enhanced momentum is almost fully reversed after one quarter, suggesting initial overshooting and subsequent reversal. We argue the most likely explanation is the price pressure from positive feedback trading. Finally, we relate positive feedback trading to mutual fund performance and show that it can positively predict a fund's return from active management.
Author: Cameron Peng Publisher: ISBN: Category : Languages : en Pages : 48
Book Description
We show that mutual funds contribute to cross-sectional momentum and excess volatility through positive feedback trading. Stocks held by positive feedback funds exhibit much stronger momentum, almost doubling the returns from a simple momentum strategy. This “enhanced” momentum is robust to alternative measures of positive feedback trading and cannot be explained by other stock characteristics, ex-post firm fundamentals, fund flows, or herding. Moreover, enhanced momentum is almost fully reversed after one quarter, suggesting initial overshooting and subsequent reversal. We argue the most likely explanation is the price pressure from positive feedback trading. Finally, we relate positive feedback trading to mutual fund performance and show that it can positively predict a fund's return from active management.
Author: Tao Shu Publisher: ISBN: Category : Languages : en Pages : 46
Book Description
This paper investigates the impact of positive-feedback trading by institutions on stock return momentum and market efficiency. Using an ex-ante measure of positive-feedback trading by institutions, I find that return momentum is stronger in stocks that attract more positive-feedback trading by institutions, suggesting that positive-feedback trading by institutions intensifies stock return momentum. This effect is not only statistically and economically significant, but also robust after controlling for the other factors that influence return momentum. Further empirical findings suggest that positive-feedback trading by institutions destabilizes stock prices and hampers market efficiency.
Author: Die Wan Publisher: ISBN: Category : Languages : en Pages : 42
Book Description
Based on 4 years data of individual stocks in SZ300P index, the paper investigates the positive feedback trading behavior and its asymmetry. Regressions with heterogeneous belief terms show the presence of positive feedback trading in Chinese market. The traders who react to daily, weekly or monthly returns all exist in the market. The asymmetric pattern of positive feedback trading in individual stocks is quite different from that in developed markets and the findings in index data: The volume and order imbalance both rise more after price rises than those after price declines. An updated Sentana-Wadhwani model confirms the existence of this kind of asymmetric positive feedback trading. The asymmetric positive feedback trading tends to be more intensive in small-cap and high-liquid stocks, and this partially explains the contrast asymmetry between individual stocks and indexes.
Author: Maximilian Wegener Publisher: GRIN Verlag ISBN: 3656403198 Category : Business & Economics Languages : en Pages : 27
Book Description
Bachelor Thesis from the year 2013 in the subject Business economics - Investment and Finance, grade: 8.0, Maastricht University, language: English, abstract: According to the efficient market hypothesis there should not be an asset overvaluation. Nevertheless, bubbles appear from time to time in the real world. In a financial bubble, the price of a security deviates grossly from its fundamental intrinsic value (Watanabe, Takayasu & Takayasu, 2007). Fundamentals or fundamental value refer to economic variables such as discount rates or future cash flows (Siegel, 2003). Depending on the valuation technique one can define an asset’s intrinsic or fundamental value, based on economic variables and assumed growth. A financial bubble is defined as a price run-up, where an initial price rise generates positive expectations of higher future prices, which attracts new buyers that are rather interested in reaping profits by trading the assets than using its earnings capacity (Siegel, 2003). There is a long history of bubbles such as the 1720 South Sea bubble, 1929 the Great Crash, in the mid-1970s the REIT bubble, in 1987 the housing crash, in 1991 the banking crisis, in 2002 the NASDAQ technology bubble and just recently the housing bubble in the United States, just to name a few. This capstone assignment deals with the question of how investors should act in the case of asset overvaluation in financial markets. In particular, it tries to answer how investors should behave. The central question asks whether investors should step aside and wait until the bubble bursts, whether they should ride the bubble or trade against it. Of course, there is support for all three, albeit contradicting theories. The different trading and investment strategies are reviewed, thereby touching upon various asset bubbles, financial concepts and empirical evidence in the academia. Moreover, it is elaborated on positive feedback trading and rational speculations, as well as behavioral finance concepts such as herding or overconfidence. The remainder of this paper describes different concepts outlined in the empirical literature, starting with asset overvaluation, followed by the efficient market hypothesis and the random walk phenomenon. The role of arbitrage traders is explored, and their impact on efficient markets and bubbles discussed. A review of behavioral traits during bubbles and the impact of human behavior on asset prices is included. Further, there is an examination of mutual fund strategies and their success in exploiting profit opportunities during bubbles. Finally, it is summarized which arguments support each of the viewpoints.
Author: Tingyu Zhou Publisher: ISBN: Category : Languages : en Pages :
Book Description
Purpose- Motivated by the unique characteristics and profit generating nature of real estate investments, this paper aims to study if investors herd differently in corresponding securities versus other non-real estate securities.Design/methodology/approach- The authors choose the Hong Kong stock market to form the sample to distinguish the herd behavior of the property stocks, if any, from stocks of other categories. The authors separate stocks into two portfolios, those made up of property stocks versus non-property stocks, because it is widely known that property stocks have high market volatility and domination of institutional investors.Findings- The authors find a persistent and significant smaller herding in property stocks. The result of a reverse U-shape intraday herding pattern also provides a possible clue to previous studies of a U-shape in intraday volatility pattern. The authors document that recent announcements of an increase in the short-term interest rate have an additive effect on the herd behavior of market participants in trading property stocks. Lastly, on the conjecture that herding will further exemplify price instability arising from positive feedback trading while investors engage in positive feedback trading in both property stocks and non-property stocks, such activity in the latter group lasts for a longer period. Furthermore, price instability of property stocks disappears at a faster pace than the counterpart.Originality/value- This study shows that property stocks are more efficiently traded by investors than other types of stocks, at least in the Hong Kong stock market.
Author: Cameron Peng
Author: Cameron Peng
Author: Tao Shu
Author: Sirn Byung Kim
Author: Die Wan
Author: Bang Xiao
Author: J. Bradford De Long
Author: Josef Lakonishok
Author: Maximilian Wegener
Author: John R. Nofsinger
Author: Tingyu Zhou