Stock Price Reversal Point Prediction Based on ICA and SVM

Author(s):  
Qiao Qian ◽  
Wang Xiaoxia
2018 ◽  
Vol 1 (2) ◽  
pp. 94
Author(s):  
Andrey Kudryavtsev

<p><em>My study explores the effect of future volatility expectations, embedded in VIX index, on large daily stock price changes and on subsequent stock returns. Following both psychological and financial literature claiming that good (bad) mood may cause people to perceive positive (negative) future outcomes as more probable and that the changes in the value of VIX may be negatively correlated with contemporaneous investors’ mood, I hypothesize that if a major positive (negative) stock price move takes place on a day when the value of VIX falls (rises), then its magnitude may be amplified by positive (negative) investors’ mood, creating price overreaction to the initial company-specific shock, which may result in subsequent price reversal. In line with my hypothesis, I document that both positive and negative large price moves accompanied by the opposite-sign contemporaneous changes in VIX are followed by significant reversals on the next two trading days and over five- and twenty-day intervals following the event, the magnitude of the reversals increasing over longer post-event windows, while large stock price changes taking place on the days when the value of VIX moves in the same direction are followed by non-significant price drifts. The results remain robust after accounting for additional company (size, beta, historical volatility) and event-specific (stock’s return and trading volume on the event day) factors, and are stronger for small and volatile stocks.</em></p>


2020 ◽  
Vol 15 (01) ◽  
pp. 2050002
Author(s):  
ANDREY KUDRYAVTSEV

The study explores the correlation between the immediate and the longer-term stock returns following large daily price moves. Following the previous literature, which documents a tendency for price reversals after initial large price moves, I suggest that if a large stock price move is immediately followed by a short-term price drift, then it may indicate that the company-specific shock is more completely incorporated in the stock price, significantly increasing the probability of subsequent longer-term price reversal. Analyzing a vast sample of large stock price moves, I document that negative (positive) longer-term stock price reversals after large price increases (decreases) are significantly more pronounced if the latter are immediately followed by relatively high (low) short-term cumulative abnormal returns, that is, by short-term price drifts. The effect remains significant after accounting for additional company-specific (size, market model beta, historical, or conditional volatility) and event-specific (stock’s return and trading volume on the event day) factors.


2004 ◽  
Vol 07 (04) ◽  
pp. 471-491 ◽  
Author(s):  
Pei-Gi Shu ◽  
Yin-Hua Yeh ◽  
Yu-Chen Huang

This study analyzes price-volume relation for Taiwanese listed firms that are added to or deleted from the MSCI free indices in the sampling period from May 17, 1999 to May 21, 2001. Additions to the indices found a positive abnormal return of 3.9% in the run-up window from the announcement day up to one day before the change was implemented. This was followed by a significant reversal on the change day. The deleted firms exhibit an even stronger announcement effect, with a significant abnormal return of -9.1% in the run-up, followed by a reversal of 1.6% on the change day. Even when reversals occurred on the change day, the abnormal returns in the post-announcement window are positive for additions and negative for deletions. The results support the price-pressure and long-run downward-sloping-demand hypothesis and are inconsistent with the efficient market hypothesis. The abnormal trading volume for deletions is negative following the announcement, contradicting the findings of Lynch and Mendenhall (1997). This difference is due to the innate of the Taiwanese stock market, in which no dedicated market makers accommodate block trading. Moreover, the regression results confirm a positive volume-return relation before and a negative relation on and after the change day. Finally, the QFII net buy (sell) the added (deleted) stocks up to ten days after the change was implemented, while the Securities Investment Trusts and Securities dealers, having a shorter frame net, buy the added stocks up to two days after the effective change. Individual investors reversing position on the change day are responsible for the price reversal on the change day.


2018 ◽  
Vol 1 (2) ◽  
pp. 1
Author(s):  
Andrey Kudryavtsev

<p><em>My study explores the effect of future volatility expectations, embedded in VIX index, on large daily stock price changes and on subsequent stock returns. Following both psychological and financial literature claiming that good (bad) mood may cause people to perceive positive (negative) future outcomes as more probable and that the changes in the value of VIX may be negatively correlated with contemporaneous investors’ mood, I hypothesize that if a major positive (negative) stock price move takes place on a day when the value of VIX falls (rises), then its magnitude may be amplified by positive (negative) investors’ mood, creating price overreaction to the initial company-specific shock, which may result in subsequent price reversal. In line with my hypothesis, I document that both positive and negative large price moves accompanied by the opposite-sign contemporaneous changes in VIX are followed by significant reversals on the next two trading days and over five- and twenty-day intervals following the event, the magnitude of the reversals increasing over longer post-event windows, while large stock price changes taking place on the days when the value of VIX moves in the same direction are followed by non-significant price drifts. The results remain robust after accounting for additional company (size, beta, historical volatility) and event-specific (stock’s return and trading volume on the event day) factors, and are stronger for small and volatile stocks.</em></p>


2001 ◽  
Vol 76 (3) ◽  
pp. 431-460 ◽  
Author(s):  
Ashiq Ali ◽  
Sanjay Kallapur

The Private Securities Litigation Reform Act (PSLRA) increases restrictions on private litigation for securities fraud. We examine stock price reactions on legislative-event-related days of firms in four high-litigation-risk industries. Two other studies on this issue, Spiess and Tkac (1997) (ST) and Johnson et al. (2000) (JKN), conclude that shareholders considered PSLRA beneficial. While we find largely similar daily abnormal returns for event-related days that they examine, we present evidence that the timing of multiple confounding events makes the interpretation of these daily returns ambiguous. Results from additional analyses beyond those conducted by ST and JKN (market price reversal tests, analysis of additional legislative-event-related days, cumulative abnormal returns over the legislative period, and analysis of other events affecting investors' ability to bring securities-related lawsuits), are largely inconsistent with their interpretation, suggesting instead that shareholders in the four high-litigation-risk industries react negatively on average to PSLRA's restrictions on their ability to bring securities-related lawsuits.


2021 ◽  
pp. 0148558X2110652
Author(s):  
T. G. Saji

The purpose of the article is to analyze the relevance of earnings fundamentals in predicting extreme price reversals of an emerging stock market. We collect monthly price data on six sector indices from Bombay Stock Exchange (BSE) of India for the period 2004–2019. The research decomposes industry stock returns into Potential Maximum Gains (PMG) and Potential Maximum Losses (PML) with price extremes at first and then tests price reversal behavior using Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) and vector autoregressive (VAR) models. The study finds symmetry between PMG and PML in the banking, realty, and oil sectors, while the asymmetric reversal behavior is noted in the automobiles and capital goods industries. The presence of industry fundamentals in the models estimating the reversal behavior of share prices enhances their predictive power, which suggests the significance of value strategies in making gains from extreme price variations. The price reversal behavior is sector specific and found inconsistent in emerging market. Hence, the investors cannot overlook the relevance of the industry characteristics and earnings fundamentals while predicting the stock price behavior in emerging markets.


2017 ◽  
Vol 15 (1) ◽  
pp. 127-139 ◽  
Author(s):  
Bayu Raharja ◽  
Dahli Suhaeli ◽  
Muji Mranani

This research examines the existing of investor overconfidence in the capital market and the phenomena of stock prices reversal in the future due to the existing of this behavior. It has a different approach to test the existing of investor overconfidence by introducing firm’s growth as the information which has triggered many investors to behave overconfidently. By using multiple regression analysis, the results of this research confirmed our conducted hypothesis, investor tends to behave overconfident to firms which have higher growth. It proofed by the positive relation between firms’ growth and trading volume. Afterward, this research also found that higher growth firms tend to have declining on its performance in the future. The negative relation between firms’ growth and longterm performance means that the stock’s price reversal caused by the existing of investor overconfidence.


Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia


2019 ◽  
Vol 10 (4) ◽  
pp. 77-86
Author(s):  
Hae-Young Ryu ◽  
Soo-Joon Chae
Keyword(s):  

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