Short sale and stock returns: Evidence from the Taiwan Stock Exchange

2009 ◽  
Vol 49 (3) ◽  
pp. 1146-1158 ◽  
Author(s):  
Ou Hu ◽  
Zhaodan Huang ◽  
Bih-shuang Liao
Keyword(s):  
Stock Returns ◽  
Stock Exchange ◽  
Taiwan Stock Exchange ◽  
Short Sale

Research of Building Intelligent Investment Decision Mode for Investment Portfolio — Using Taiwan Electronic Stock as an Example

2010 ◽  
Vol 13 (04) ◽  
pp. 621-645 ◽  
Author(s):  
Wen-Rong Jerry Ho ◽  
C. H. Liu ◽  
H. W. Chen
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Strategy ◽  
Return Rate ◽  
Selection Strategy ◽  
Stock Selection ◽  
Taiwan Stock Exchange ◽  
Book To Market Ratio

This research uses all of the listed electronic stocks in the Taiwan Stock Exchange as a sample to test the performance of the return rate of stock prices. In addition, this research compares it with the electronic stock returns. The empirical result shows that no matter which kind of stock selection strategy we choose, a majority of the return rate is higher than that of the electronics index. Evident in the results, the predicted effect of BPNN is better than that of the general average decentralized investment strategy. Furthermore, the low price-to-earning ratio and the low book-to-market ratio have a significant long-term influence.

scholarly journals The Relation Between Trading Volume Concentration and Stock Returns

2021 ◽  
pp. 82-89
Author(s):  
Chen-Chang Lo ◽  
Yaling Lin ◽  
Jiann-Lin Kuo ◽  
Yi Ting Wen
Keyword(s):  
Stock Returns ◽  
Gini Coefficient ◽  
Trading Volume ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Stock Selection ◽  
Taiwan Stock Exchange ◽  
The Gini Coefficient ◽  
Event Date ◽  
Brokerage Firms

The Taiwan Stock Exchange discloses data on daily trading volume across brokerage firms for each listed stock. Market practitioners suggest that the concentration of trading volume contains information on the trading behaviors of big players. We use the Gini Coefficient to measure the degree of concentration, upon which a trading strategy is proposed. We conduct an event study to examine whether such a strategy will yield abnormal returns. Our sample contains 375 listed companies with events identified during the sample period from February 2020 to August 2020. The empirical results show that the trading signal based on the Gini coefficient is informative and that most of the average abnormal returns after the event date are significantly positive with the cumulative average abnormal returns increasing almost monotonically up to the end day of the event window. Consistent with prior studies in which different measures of concentration are utilized, our findings provide additional evidence that the Gini Coefficient could help investors to develop profitable stock selection and market timing strategies.

Differences of Opinion and Price Reversals: Evidence from the Taiwan Stock Exchange

2015 ◽  
Vol 18 (03) ◽  
pp. 1550015 ◽  
Author(s):  
Chu-Chun Cheng ◽  
Yen-Sheng Huang
Keyword(s):  
Stock Returns ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Taiwan Stock Exchange ◽  
Holding Period ◽  
Cumulative Abnormal Returns ◽  
Common Stocks ◽  
Differences Of Opinion ◽  
One Year ◽  
The Impact

This paper examines the impact of differences of opinion (DIFOPN) on long-term price reversals using all of the common stocks listed on the Taiwan Stock Exchange over the period of 1990–2008. We choose winners and losers ranked by their cumulative abnormal returns (CARs) over the three-year formation period. The performance of the winners and losers is evaluated over the subsequent one-year holding periods. The empirical results indicate that DIFOPN are generally positively related to price reversals in the holding period for both winners and losers. When DIFOPN are measured by the financial analysts' forecasts of earnings per share and by the standard deviation of stock returns, the association between DIFOPN and price reversals is significantly different from zero. This relationship is robust when such control variables as market-to-book ratios, size, and beta are included.

The Extended Opening Session of the Futures Market and Stock Price Behavior: Evidence from the Taiwan Stock Exchange

2009 ◽  
Vol 12 (03) ◽  
pp. 403-416 ◽  
Author(s):  
Hsiu-Chuan Lee ◽  
Cheng-Yi Chien ◽  
Hsiang-Lan Chen ◽  
Yen-Sheng Huang
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Price ◽  
Stock Exchange ◽  
Futures Market ◽  
Price Behavior ◽  
Taiwan Stock Exchange ◽  
Market Opening ◽  
Opening Session ◽  
Extension Period

This paper examines how the introduction of the extended opening session of the futures market affects stock price behavior around the market opening. On January 1, 2001, the Taiwan Futures Exchange (TAIFEX) extended the trading hours by opening earlier 15 minutes than the Taiwan Stock Exchange (TWSE). This change presents an opportunity to analyze how the extended opening session of futures market affects stock price behavior. Compared with the pre-extension period, the empirical results show that stock returns are less volatile and return autocorrelations are less positively correlated around the stock market opening. Moreover, overreaction for opening prices of the stock market is mitigated in the post-extension period. Finally, unexpected futures returns during the extended opening session can predict overnight stock returns. Overall, the empirical results are consistent with Foster and Viswanathan (1990) in that informed traders will trade aggressively at the market opening.

Do informed option investors predict stock returns? Evidence from the Taiwan stock exchange

2009 ◽  
Vol 33 (4) ◽  
pp. 757-764 ◽  
Author(s):  
Chuang-Chang Chang ◽  
Pei-Fang Hsieh ◽  
Hung-Neng Lai
Keyword(s):  
Stock Returns ◽  
Stock Exchange ◽  
Taiwan Stock Exchange

scholarly journals PENGARUH KURS, GROSS DOMESTIC PRODUCT DAN SOLVABILITAS TERHADAP RETURN SAHAM INVESTOR PADA PERUSAHAAN PERTAMBANGAN

2019 ◽  
Vol 8 (10) ◽  
pp. 6262
Author(s):  
Martina Carissa Dewi ◽  
Luh Gede Sri Artini
Keyword(s):  
Exchange Rate ◽  
Gross Domestic Product ◽  
Exchange Rates ◽  
Stock Returns ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Domestic Product ◽  
Mining Company ◽  
Macroeconomic Factors ◽  
Regression Test

The level of return obtained by investors is influenced by microeconomic and macroeconomic factors. This study aims to obtain empirical evidence regarding the effect of exchange rates, Gross Domestic Product and solvency on stock returns. This research was conducted at the mining company in the coal sub-sector on the Indonesia Stock Exchange. All the coal mining sub-sector companies listed on the Stock Exchange for the period 2014-2017 used as the population. The method of determining the sample used is using a saturated sampling technique. Multiple linear regression test used as the data analysis on this research. Based on the results of the analysis of this study it was found that the exchange rate and GDP had a negative and significant effect on stock returns. The solvency proxied by DER has a positive and significant effect on stock returns. Keywords: Exchange Rate, Gross Domestic Product, Solvability and Return.

scholarly journals Information-Theoretic Measures and Modeling Stock Market Volatility: A Comparative Approach

Risks ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 89
Author(s):  
Muhammad Sheraz ◽  
Imran Nasir
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Exchange ◽  
Approximate Entropy ◽  
Market Volatility ◽  
Comparative Approach ◽  
Stock Market Volatility ◽  
Information Theoretic ◽  
Information Theoretic Measures ◽  
Garch Modeling

The volatility analysis of stock returns data is paramount in financial studies. We investigate the dynamics of volatility and randomness of the Pakistan Stock Exchange (PSX-100) and obtain insights into the behavior of investors during and before the coronavirus disease (COVID-19 pandemic). The paper aims to present the volatility estimations and quantification of the randomness of PSX-100. The methodology includes two approaches: (i) the implementation of EGARCH, GJR-GARCH, and TGARCH models to estimate the volatilities; and (ii) analysis of randomness in volatilities series, return series, and PSX-100 closing prices for pre-pandemic and pandemic period by using Shannon’s, Tsallis, approximate and sample entropies. Volatility modeling suggests the existence of the leverage effect in both the underlying periods of study. The results obtained using GARCH modeling reveal that the stock market volatility has increased during the pandemic period. However, information-theoretic results based on Shannon and Tsallis entropies do not suggest notable variation in the estimated volatilities series and closing prices. We have examined regularity and randomness based on the approximate entropy and sample entropy. We have noticed both entropies are extremely sensitive to choices of the parameters.

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