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This paper applies a volume-price probability wave differential equation to propose a conceptual theory and has innovative behavioral interpretations of intraday dynamic market equilibrium price, in which traders' momentum, reversal and interactive behaviors play roles.

The authors select intraday cumulative trading volume distribution over price as revealed preferences. An equilibrium price is a price at which the corresponding cumulative trading volume achieves the maximum value. Based on the existence of the equilibrium in social finance, the authors propose a testable interacting traders' preference hypothesis without imposing the invariance criterion of rational choices. Interactively coherent preferences signify the choices subject to interactive invariance over price.

The authors find that interactive trading choices generate a constant frequency over price and intraday dynamic market equilibrium in a tug-of-war between momentum and reversal traders. The authors explain the market equilibrium through interactive, momentum and reversal traders. The intelligent interactive trading preferences are coherent and account for local dynamic market equilibrium, holistic dynamic market disequilibrium and the nonlinear and non-monotone V-shaped probability of selling over profit (BH curves).

The authors will understand investors' behaviors and dynamic markets through more empirical execution in the future, suggesting a unified theory available in social finance.

The authors can apply the subjects' intelligent behaviors to artificial intelligence (AI), deep learning and financial technology.

Understanding the behavior of interacting individuals or units will help social risk management beyond the frontiers of the financial market, such as governance in an organization, social violence in a country and COVID-19 pandemics worldwide.

It uncovers subjects' intelligent interactively trading behaviors.

The purpose of this paper is to examine the short horizon stock behavior following large price shocks in the Indian stock market.

The author followed the methodology developed by Pritamani and Singhal (2001) to the short horizon stock behavior following large price shocks. Multivariate regression has also been used to test the robustness of the evidenced results.

The abnormal return following large one-day price changes were not found to be important. However, large price one-day changes, conditioned with volume, evidenced significant reversals and momentum over the following 20-day period. Large price changes accompanied by low volume exhibited significant reversals and suggests significant economic profits. The large price changes accompanied by high volume exhibited continuations.

Large price changes accompanied by low volume exhibited significant reversals and suggested significant economic profits. The large price changes with high volume exhibited continuations. The contrarian strategy of buying low-volume one-day losers and selling one-day winners produced significant short horizon economic profits in the Indian stock market directly contradicting the efficient market hypothesis and has behavioral implications.

In this paper, the author has unearthed significant simple profitable trading strategies based on reversals and continuation following large one-day price changes with potential for significant economic profits.

This paper provides a practical framework for profitable trading strategies based on reversals and continuation following large one-day price changes with a potential for significant economic profits. The analysis of short horizon stock behavior following large price shocks conditional on volume based on the chosen methodology has not been attempted so far in the Indian stock market.

This chapter aims to expand the overreaction literature by examining whether the price reversals occur in the short-term period (i.e., 3 days) and long-term period (i.e., up to 20 days), following large 1-day price changes in Asia-Pacific markets over the period 2001–2005. Our results based on firm data in three Asia-Pacific markets, namely, Australia, Japan, and Vietnam, and static and dynamic measures of large price changes indicate the followings. First, stock prices tend to reverse over the short-term period after large price changes. Second, in the case of large price declines defined by arbitrary trigger values, investors may earn profit from exploiting the phenomena of price reversals; however, the profit is not large enough to exploit since it is less than the profit from passive funds. This result is supportive of the weak form of efficient market hypothesis. Third, we find mixed evidence of long run price reversal across markets. Forth, market conditions (i.e., bear or bull) may not explain the magnitude of price reversals. Finally, the dynamic measures of large price changes based on individual firms provide more consistent evidence across markets, which is supportive of short-term price reversals and overreaction hypothesis. This evidence exists in the emerging market of Vietnam as well as developed Australian and Japanese markets.

What explains patterns in stock prices is an important question. One such pattern, price momentum, is a well-known capital markets anomaly where recent stock price performance appears to continue into the future. This momentum is frequently thought to reflect delayed reaction by investors to unspecified information (i.e. underreaction). This study aims to provide a useful insight regarding momentum: potential mispricing related to accounting fundamentals appears to conceal longer-term reversals in price momentum. Controlling for these fundamentals reveals that price momentum reverses, indicating that investor overreaction is a potentially important source of stock price momentum. The evidence presented in this study emphasizes the importance of decoupling momentum and accounting fundamentals to achieve a more complete understanding of what explains stock price momentum.

This study explores this question by examining the longer-term performance of momentum stocks in the US market after decoupling it from performance related to accounting fundamentals using returns to fundamentals-based factors as controls in time series regressions.

This study finds evidence of clear reversals in the remaining price momentum. These reversals provide a new insight into the momentum effect because they imply that the component of price momentum not traceable to accounting fundamentals reflects investor overreaction rather than underreaction.

The findings indicate that the underlying nature of the information driving price movements is important to achieving a complete understanding of what explains price momentum. To the best of the author’s knowledge, no other study has examined the behavior of stock price momentum while controlling for accounting fundamentals.

The existing literature about return reversal effect in Chinese stock markets is inconclusive and controversial. Therefore, the purpose of this paper is to investigate the presence of return reversal effect in the Shanghai A stock market.

The authors used the late-stage contrarian strategy of Malin and Bornholt (2013) for the period March 2011‒March 2016.

The results show that there is a long-term return reversal effect in the Shanghai A stock market for the period March 2011‒March 2016. When portfolios are in the formation period (P=24 months), the excess returns are significant in the holding period, Q=6, 9, 12, 24 months. Further, there is also a significant short-term momentum effect in the Shanghai A stock market. For the robustness check, a new reversal factor was introduced into the Fama‒French three-factor model. Results show that portfolios have a smaller size and have lower book-to-market ratios; the return reversal factor explains a portion of the abnormal returns and coefficient of the reversal effect is significant.

The authors caution readers from generalizing the findings of this study, as the sample is small and the focus is only on A stocks listed on the Shanghai Stock Exchange.

The present research expands the current literature by providing a comprehensive information about the presence of the long-term and short-term return reversal effects in Shanghai A stock market. Furthermore, the Chinese stock markets have distinctive features in comparison to the developed stock markets in terms of government control, institutional structure, liquidity, cultural background, etc. Such differences affect the pattern in stock returns compared with those observed in developed stock markets. Contrary to previous studies, the present study also accounts for robustness checks. Finally, it also evaluates the possible reasons for the return reversal effect in the Shanghai market.

The purpose of this paper is to examine the proposition that unexplained price and volume movements detected by the New Zealand Exchange's (“NZX”) surveillance staff reflect speculative trading.

The paper examines a sample of 98 price queries issued by the NZX between 1996 and 2004 where the company responded with a “no news” announcement to the NZX query. The sample is partitioned between queries of price increases and queries of price decreases. A market model is employed to estimate abnormal returns over the event window period [−30, 30] where day 0 is the date the price query is issued.

The paper finds evidence of large abnormal returns in the immediate pre‐query period but only a partial reversal in the post‐query period following the “no news” announcements.

The absence of a full reversal of the pre‐query abnormal return is interpreted as evidence that prices are being set by informed traders rather than by uninformed or speculative traders. Further research is required to determine whether this reflects breaches of either the continuous disclosure regime or insider trading regulations.

The paper presents the first systematic analysis of the NZX's price query system. The empirical results show that price movements that generate price queries and subsequent “no news” announcements should not be dismissed as mere speculation.

In this study, we analyzed whether the expiration day effect of domestic single stock futures exists. One-minute stock prices and trading volume by trader types is used. Data ranges from May 2008 to June 2016. The expiration day effects are measured by price reversal, price shock, volatility effect, and volume effect. Since the expiration day of single stock futures is on the second Thursday of each month, we analyzed whether the expiration day effects differ between expiration Thursday and non-expiration Thursday. The price reversal effect is evident in Samsung Electronics and Hyundai Steel, and the price shock effect is evident for KT and KT&G. However, price reversals and price shocks are not generally found in other stocks. On the other hand, in most stocks (16 out of 22), the volatility effect variables were statistically significantly larger on the expiration Thursday than non-expiration Thursday. The expiration day effects of single stocks are evident in the trading volume. First of all, trading volume increased significantly on expiration Thursday than non-expiration Thursday. In particular, the trading-volume shares of institutional investors and foreign investors increase and the share of individual investors is decreasing. This suggests that the increase in trading volume on expiration Thursday is mainly due to the increase in the trading-volume shares of institutional investors and foreign investors, who are supposed to be in the information superiority. In addition, we can conjecture that the larger volatility level on expiration Thursday than on non-expiration Thursday may be due to institutional investors and foreign investors rather than individual investors.

In this paper we provide an in‐depth comparative analysis of the shares of listed firms in three Southeast Asian stock markets, namely, Indonesia, Malaysia and Thailand, that had experienced the most violent fluctuations in the 1997 market crash. Our purpose is to present broad lessons from the experiences of these countries that could be helpful to understand the behavior of stock markets under severe financial crisis. Several new results are found: (1) There were local price bubbles prior to the market crash in each country. (2) Price momentum may have contributed to the share price increase prior to the crash but not during the period of crisis or the market reversal. (3) The price bubbles in these countries were mainly among the most liquid and most volatile shares. (4) Asset liquidity was found to cause returns to behave differently in quiet versus extraordinary period.

This paper aims to examine whether the cross-sectional return patterns in New Zealand’s main stock market (NZSX) are also present in the alternative (NZAX) and over-the-counter (Unlisted) markets.

Cross-sectional regressions of monthly stock returns on well-known pricing factors including firm size, book-to-market (B/M) ratio, liquidity and past returns were run. The NZSX sample commenced in 1988 and continued through to 2011, while data are available for the Unlisted and NZAX markets from 2004 to 2011.

The pricing factors that are important in explaining returns in major international markets also influence returns on the NZSX. However, only B/M is consistently priced across all New Zealand stock exchanges, including the alternative NZAX and Unlisted markets. There is evidence of reversal in NZAX stocks, but liquidity effects are not consistent or pervasive in either market.

With B/M being the only consistently priced variable across all markets, investors in the NZAX and in particular Unlisted may be concerned with other risk factors. For example, the risks associated with differing levels of investor protection, corporate governance and disclosure may be of more concern to investors than pricing factors such as size, liquidity and past returns in these alternative trading platforms.

The paper examines cross-sectional return patterns of the NZAX and Unlisted stocks and is the first paper to jointly test the explanatory power of size, B/M, past returns and liquidity factors for NZSX stocks.

This paper examines whether there are differences in the nature of the price discovery process across established versus emerging stock markets using a twenty-country sample.

The authors analyse security returns for traces of predictability or non-randomness using variance ratio tests, Granger-Causality models and runs tests.

The findings pinpoint at predictabilities which seem inconsistent with market efficiency, and they suggest that the inherent cause of predictability differs across groups.

The authors present empirical evidence which may be used to attain a deeper understanding of the links between predictability and market efficiency, in view of the conflicting evidence in prior literature.

Whilst the pricing process in emerging markets may be hindered by delayed adjustments, in case of established markets it seems that there is a higher tendency for price reversals which could be due to prior over-reactions.

This study presents evidence of substantial differences in predictability across developed and emerging markets which was gleaned through the rigorous application of different empirical tests.