scholarly journals Investment Strategies, Trading Information And Option Market: Evidence From The Toronto Stock Exchange

2011 ◽  
Vol 8 (12) ◽  
Author(s):  
Tov Assogbavi ◽  
Siméon Fagnissè
Keyword(s):  
Trading Volume ◽  
Stock Exchange ◽  
Price Change ◽  
Seemingly Unrelated Regression ◽  
Investment Strategies ◽  
Option Markets ◽  
Toronto Stock Exchange ◽  
Equity Issues ◽  
Option Trading ◽  
Option Market

This paper empirically investigates the relationship between equity price change and volume in order to determine the extent to which option trading affects the absolute price?volume relationship. The analysis is based on Zellner's 'Seemingly Unrelated Regression, (SUR) method shows that, on average, the trading volume of option eligible equity issues is less sensitive to price changes than the volume of equity issues without options. This result supports the hypothesis (Ross, 1976) that investors may be more inclined to turn to the option market rather than acting directly on the securities in order to carry out their different investment strategies on the stock market. A direct implication of this finding suggests that investment strategies that use both volume and price change to make inferences for investment decisions have to integrate, at least when dealing with an option eligible equity, both stock and option markets into their analysis.

scholarly journals Price-Volume Granger Causality Tests in the Egyptian Stock Exchange (EGX)

2019 ◽  
Vol 8 (3) ◽  
pp. 48
Author(s):  
Kobana Abukari ◽  
Tov Assogbavi
Keyword(s):  
Trading Volume ◽  
Stock Exchange ◽  
Price Change ◽  
Wall Street ◽  
Diffusion Of Information ◽  
Bull Markets ◽  
Volume Relationship ◽  
Causality Tests ◽  
Sequential Information ◽  
Egyptian Stock Exchange

Using weekly Egyptian stock exchange data on the 34 most active companies stretching from 2011 to 2017, this study finds that price changes Granger cause trading volume up to 8 weeks (lags), supporting the sequential information arrival model in the EGX. We also find a robust contemporaneously positive asymmetric relationship between price change and trading volume, confirming two well-documented characteristics of the price-volume relationship as well as two major adages of Wall Street: “it takes volume to move prices” and “volume in bull markets is heavier than volume in bear markets”. Overall, our results imply that although there is some sequential diffusion of information, the EGX’s efforts at improving its microstructure through initiatives such as the 2009 Presidential Degree on structure and governance, appear to have helped in improving instantaneous access to information – as exemplified by our evidence of strong contemporaneous positive price-volume relationship.

scholarly journals Equity Price-Volume Relationship On The Russian Stock Exchange

2011 ◽  
Vol 6 (9) ◽  
Author(s):  
Tov Assogbavi ◽  
Jennifer Schell ◽  
Siméon Fagnissè
Keyword(s):  
Stock Price ◽  
Stock Exchange ◽  
Price Change ◽  
Investment Strategies ◽  
Weak Support ◽  
Volume Relationship ◽  
Valuation Process ◽  
Equity Price ◽  
Relationship Of ◽  
Auto Regression

This paper analyses the stock price?volume relationship of individual equities in the Russian Stock Exchange. Using a vector auto-regression analysis on weekly data, we present a strong evidence of bi-directional relationship between volume and price change. This finding confirms the evidence reported by studies on many developed markets. However, the weak support for the positive price-volume relationship may imply that the differences in institutions and information flows in the Russian Stock Exchange might be important enough to affect the valuation process of their securities. Consequently, investors who based their investment strategies on momentum, have to adjust their strategies when trading on Russian Stock Markets.

Market reactions to corporate name changes: evidence from the Toronto Stock Exchange

2017 ◽  
Vol 13 (1) ◽  
pp. 50-69 ◽  
Author(s):  
Ernest N. Biktimirov ◽  
Farooq Durrani
Keyword(s):  
Stock Price ◽  
Abnormal Return ◽  
Trading Volume ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Toronto Stock Exchange ◽  
Market Reactions ◽  
Content Type ◽  
Name Change ◽  
Name Changes

Purpose The purpose of this paper is to examine stock price and trading volume reactions to name changes of the Toronto Stock Exchange listed companies. Previous studies present conflicting evidence on reactions to corporate name changes in US and other capital markets. Design/methodology/approach This study uses the event study methodology to calculate abnormal returns and trading volume around the announcement, approval, and effective dates of corporate name changes. It also contrasts abnormal returns between major and minor name changes, signaling focused and diversified strategies, accompanied with a ticker symbol change and without a ticker change, structural and pure name changes, as well as brand adoption and radical name changes. Findings Companies tend to experience a significant run-up in stock price in the period preceding the announcement of a name change. The stocks also show a significant positive abnormal return around the effective date. In addition, corporate name changes are associated with significant increases in trading volume for several days starting from the approval date. Most importantly, the type of a name change matters, as reflected in significance levels of abnormal return and trading volume reactions to various types of corporate name changes. Research limitations/implications The limitation of this study comes from the difficulty to precisely identify the date when the market learns about a possible corporate name change. Originality/value This study is the first to examine market reactions to name changes of Toronto Stock Exchange listed companies. Most importantly, whereas previous studies focus on the announcement day, this paper also considers the approval and effective days. It also contrasts responses between name changes accompanied with a new ticker and name changes without a ticker change.

Intraday Price Change and Trading Volume in the KTB Futures and Futures Option Markets

2002 ◽  
Vol 10 (2) ◽  
pp. 57-94
Author(s):  
Bong Chan Go ◽  
Jin U Kim
Keyword(s):  
Trading Volume ◽  
Futures Markets ◽  
Price Change ◽  
Price Changes ◽  
Option Markets ◽  
Futures Options ◽  
Day Of The Week ◽  
Infrequent Trading ◽  
The Impact ◽  
Bid Ask Spreads

This study examines the impacts of the KTB futures options, newly introduced at the Korea Futures Exchange (KOFEX) on May, 2002, on the intraday volatility and liquidity of the KTB futures markets for the period from January 17, 2002, to August 30, 2002. The results show that the volatility of the KTB futures appears to have increased since the inception of the KTB futures options. However, the increase in volatility largely disappears after controlling for the effects of volume, time-to-maturity, day-of-the-week, and bid-ask bounce. There is some mixed evidence regarding the impact on the liquidity of the KTB futures markets, in the sense that the trading volume has increased significantly whereas the bid-ask spreads have widened too. The KTB futures price changes are more likely to lead the price changes of the KTB futures options by about 15 minutes, which is probably due to the infrequent trading problem on the part of the KTB futures options. Finally, though infrequently traded, the put-futures parity condition is rarely violated, and thus is difficult to be exploited for arbitrage transactions, indicating that the two markets are closely linked each other.

Statistical characteristics of price impact in high-frequency trading

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Can Jia ◽  
Tianmin Zhou ◽  
Handong Li
Keyword(s):  
High Frequency ◽  
Trading Volume ◽  
Stock Exchange ◽  
Price Change ◽  
Price Impact ◽  
High Frequency Trading ◽  
Statistical Characteristics ◽  
Long Term Memory ◽  
Time Interval ◽  
Trade Volume

AbstractTrading volume changes based on market microstructure will impact asset prices, which will lead to transaction price changes. Based on the extended Hasbrouck–Foster–Viswanathan (HFV) model, we study the statistical characteristics of daily permanent price impact and daily temporary price impact using high-frequency data from Chinese Stock Markets. We estimate this model using tick-by-tick data for 16 selected stocks that are traded on the Shanghai Stock Exchange. We find the following: (1) the time series of both the permanent price impact and temporary price impact exist in stationarity and long-term memory; (2) there is a strong correlation between the permanent price impact among assets, while the correlation coefficient of the temporary price impact is generally weak; (3) the time interval has no significant influence on the trade volume and the price change at the tick frequency, which means that it is not necessary to take into account the time interval between adjacent transaction in high-frequency trading; and (4) the bid-ask spread is an effective factor to explain trading price change, but has no significant impact on trade volume.

scholarly journals Are the shareholding and trading behaviors of diverse investors affected by the relaxation of day trading?

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250121
Author(s):  
Wan-Hsiu Cheng ◽  
Yensen Ni ◽  
Ting-Hsun Ho ◽  
Chia-Jung Chiang ◽  
Paoyu Huang ◽  
...  
Keyword(s):  
Institutional Investors ◽  
Trading Volume ◽  
Stock Exchange ◽  
Individual Investors ◽  
Investment Strategies ◽  
High Turnover ◽  
Listed Firms ◽  
Day Trading ◽  
Taiwan Stock Exchange ◽  
Foreign Institutional Investors

The day trading in Taiwanese stock market expands considerably at the beginning of 2016, which increases the transactions of stocks consequently and sparks our interest in exploring the issue of day trading. In this study, we use the data of Taiwan Stock Exchange listed firms to investigate whether the day trading volume over total trading volume (hereinafter referred to as the day trading ratio) and the turnover ratio enhanced by the increase of day trading volume would affect the shareholding and trading behaviors of diverse institutional and individual investors. Unquestionably, we bring out several impressive findings. First, foreign institutional investors would not prefer holding or trading the stocks with high day trading ratios, whereas individual investors would prefer holding these kinds of stocks. We infer that this finding might result from the fundamental and the speculative concerns of these various investors. Second, domestic institutional investors and security dealers would prefer trading the stocks with high turnover ratios, but foreign institutional investors still lack of interest in trading these stocks, implying that the investment strategies would be dissimilar among various institutional investors. Since foreign institutional investors are regarded as the successful institutional investors in Taiwan, we argue that our revealed results may help market participants trace the behaviors of diverse investors, especially the foreign institutional investors, after day trading relaxation in Taiwan.

scholarly journals Australian Stock Exchange and sub-variants of price momentum strategies

2018 ◽  
Vol 15 (1) ◽  
pp. 224-235
Author(s):  
Abdullah Ejaz ◽  
Petr Polak
Keyword(s):  
Trading Volume ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Investment Strategies ◽  
Momentum Effect ◽  
Short Term ◽  
Momentum Strategies ◽  
Price Momentum ◽  
Return Behavior

The aim of this study is to examine the sub-variants of price momentum strategies. The paper recommends which sub-variants post above average returns for Australian Stock Exchange. It also analyzes the return behavior of short-term momentum effect among sub-variants of price momentum strategies. It has been found that monthly price momentum strategies result in above average abnormal returns, whereas weekly price momentum strategies should be used in combination with monthly price momentum strategies. Trading volume-based momentum investment strategies should not be used at all.

Hot and Cold Strategies: Australian Evidence

2011 ◽  
Vol 14 (02) ◽  
pp. 271-295 ◽  
Author(s):  
Vikash Ramiah ◽  
Tafadzwa Mugwagwa ◽  
Tony Naughton
Keyword(s):  
Stock Returns ◽  
Asset Allocation ◽  
High Frequency ◽  
Trading Volume ◽  
Stock Exchange ◽  
Short Selling ◽  
Investment Strategies ◽  
Tactical Asset Allocation ◽  
Momentum Trading ◽  
The Relationship

The main purpose of this paper is to explore a high-frequency tactical asset allocation strategy. In particular, we investigate the profitability of momentum trading and contrarian investment strategies for equities listed on the Australian Stock Exchange (ASX). In these two strategies we take into consideration the short-selling restrictions imposed by the ASX on the stocks used. Within our sample portfolios we look at the relationship between stock returns and past trading volume for these equities. This research also investigates the seasonal aspects of contrarian portfolios and observes weekly, monthly and yearly effects. We report significant contrarian profits for the period investigated (from 2001 to 2006) and show that contrarian profit is a persistent feature for the strategies examined. We also document that contrarian portfolios earn returns as high as 6.54% per day for portfolios with no short-selling restrictions, and 4.71% in the restricted model. The results also support the view that volume traded affects stock returns, and show that market imperfections such as short-selling restrictions affect investors' returns.

Uji Komparasi Abnormal Return, Trading Volume, Trading Frequency, Dan Bid-Ask Spread Sebelum Dan Sesudah Share Split

2016 ◽  
Vol 8 (2) ◽  
pp. 24-45
Author(s):  
Tania Hayu Safira ◽  
Febryanti Simon
Keyword(s):  
Abnormal Return ◽  
Trading Volume ◽  
Stock Exchange ◽  
Distributed Data ◽  
Trading Frequency ◽  
Bid Ask Spread ◽  
Analysis Technique ◽  
Before And After ◽  
Test Of Hypothesis ◽  
Kolmogorov Smirnov

This study is event study that was conduct to examine the differences of abnormal return, trading volume, trading frequency and bid-ask spread before and after the events of share split. The object of this research is the companies that did share split and listed in Indonesia Stock Exchange in 2008 - 2015. The samples are 30 companies chosen by purposive sampling method. The criteria are the company did not do corporate action right issue, pre-emptive rights, a share dividend and bonus shares in the same year with share split. Event window used in this study was 30 days consisting of 15 days before and 15 days after the share split. Data analysis technique begins with a test of normality using Kolmogorov – Smirnov and transform for unnormally distributed data. Then, test of hypothesis using Paired t – test to compare the differences before and after share split. The results of this study showed that volume trading activity and trading frequency had significant differences before and after the share split. While, variable abnormal return and bid-ask spread had not significant differences before and after the share split. Keywords: Abnormal return, bid-ask spread, share split, trading frequency, trading volume.

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