Trading volume and stock market volatility: The Polish case

Relying on the mixture of distributions hypothesis (MDH), this paper investigates the relationship between daily returns and trading volume for 20 Polish stocks. Our empirical results show that in the majority of cases volatility persistence tends to disappear when trading volume is included in the conditional variance equation, which is in agreement with the findings of studies on developed stock markets. However, we cannot confirm the testable implications of the MDH in all cases, which indicates that future research on the causes and modeling of Polish stock market volatility is necessary.     

Trading volume in options and common stock around quarterly earnings announcements

This study examines trading in call and put options around quarterly earnings announcements and investigates whether the existence of these options affects the common stock trading volume response to these announcements. We find that the options trading volume reaction to earnings announcements is larger than the corresponding reaction in common stock. Consistent with the idea that options provide an alternative vehicle for trading on information, the existence of these options lowers the level of trading in common stock. Options also appear to offer investors an alternative method of taking short positions, as shown by the symmetric stock market trading volume reaction to good versus bad news for firms with listed options. In contrast, firms without listed options exhibit a larger trading volume response to good news than to bad news of similar magnitude.     

Trading volume and short-horizon contrarian profits: Evidence from the Malaysian market

We provide evidence on short-term predictability of stock returns on the Malaysian stock market. We examine the relation between return predictability and the level of trading activity. This is particularly relevant in emerging stock markets, where thin trading is more pervasive. We find that the returns from a contrarian portfolio strategy are positively related to the level of trading activity in the securities. Specifically, the contrarian profits on actively and frequently traded securities are significantly higher than that generated from the low trading activity securities. We find that the differential behavior of high- and low-volume securities is not subsumed by the size effect, although for the small firms, the volume–predictability relation is most pronounced. We also suggest that the price patterns may be related to the institutional arrangement in the Malaysian stock market.     

Determinants of market beta: the impacts of firm-specific accounting figures and market conditions

This article examines and extends research on the relation between the capital asset pricing model market beta, accounting risk measures and macroeconomic risk factors. We employ a beta decomposition approach that nests competing models with different business risk proxies and allows to frame cross-model comparison. Because model tests require estimated independent variables resulting in measurement error, we empirically estimate three comparable model specifications with instrumental variable estimators and for the first time provide thorough instrument diagnostics in this setting. Correcting for the heretofore neglected weak instruments problem we find that growth risk (i.e., the risk of firm sales variations that are inconsistent with the market wide trends), is the business risk that explains cross-sectional variations in market beta best.     

The price and volume response to earnings announcements in the corporate bond market

We examine abnormal returns and trading activity in bond markets around earnings announcements. Previous work provides mixed evidence on the relative impact of positive and negative surprises and the degree of response in investment-grade and speculative-grade bonds. We find that these announcements convey value-relevant information for both positive and negative earnings surprises in both investment and speculative-grade bonds. We also document significant heterogeneity in the response across industries, with muted responses in both abnormal returns and trading activity for bonds of firms in the financial and utilities industries.     

Insider Trading: Implications and Responses

An understanding of the implications of insider trading can only be achieved by analysing conflicting perceptions of what is meant by inside or privileged information. Empirical evidence on insider trading, mainly reflecting United States experiences, challenges assumptions not only about the impact of insider trading but also the efficiency of financial markets. There are hierarchies of market participants and rules on insider trading capable of practical implementation will only change the rankings. Companies have a property interest in their inside information and should bear the responsibility for its use.     

Trading volume,time-varying conditional volatility,and asymmetric volatility spillover in the Saudi stock market

Despite the well known importance of volatility–volume relationship, there is a paucity of research on this topic in emerging markets. We attempt to partially fill this gap by investigating volatility–volume relationship in the most important exchange market in the Middle East. We test the effect of trading volume on the persistence of the time-varying conditional volatility of returns in the Saudi stock market. Overall our results support the mixture of distribution hypothesis at the firm level. We also use two different proxies for information arrival, intra-day volatility, and overnight indicators. We find that these are good proxies for information and are important as contemporaneous volume in explaining conditional volatility. We also test for the volatility spillover direction between large- and small-cap portfolios. Our results show that the spillover effect is larger and statistically significant from large to small companies.     

Investor attention,firm-specific characteristic,and momentum: A case of the Korean stock market

This study examines the sources of negative momentum profits by combining investor attention and the properties of common and firm-specific factors. We choose the Korean stock market as a good case to characterize the negative momentum profits identified in Asia. In both portfolio and stock analyses, a method is devised to generate return data involving the property of each common and firm-specific factor within stock groups by investor attention. This study found significant negative momentum profits within the stock group with high investor attention. This momentum effect is highly dependent on the reversed performance of the past loser portfolio, not the continued performance of the past winner portfolio, and this reversal is strongly attributable to the properties of firm-specific factors, and not those of common factors. These results are robustly consistent regardless of changes in empirical design and the consideration of influence factors, market dynamics, and other stock markets.     

Trading around macroeconomic announcements: Are all traders created equal?

This paper examines the effects of macroeconomic announcements on equity index markets using high frequency transactions data for the regular and E-mini S&P 500 index futures contracts. For ten types of announcements that significantly affect prices, we analyze the price adjustment process and the trading patterns of exchange locals and off-exchange customers around the announcements. We find a large increase in trading activity immediately after the announcement. The results also show that during this initial surge in trading activity, locals are able to time their trades better than off-exchange traders even when locals do not have the advantage of access to the order flow. The trading strategy followed by exchange locals in the first 20 seconds after the announcement tends to be profitable, while off-exchange traders tend to make losing trades over the same time period. These results lend evidence that local traders tend to react to the macroeconomic information faster than off-exchange traders.     

Trading costs for listed options: The implications for market efficiency

This paper reexamines the anomalous evidence concerning the efficiency of the listed options exchanges. We focus on the structure of trading costs in that market, and note several costs which generally have been ignored, the largest of which is the bid-ask spread. When we adjust the published trading rules for our estimates of these trading costs, the reported abnormal returns are eliminated.     

Trading volume and stock returns: A meta-analysis

I examine 468 estimates on the relationship between trading volume and stock returns reported in 44 studies. I study publication bias together with Bayesian and frequentist model averaging to explain the heterogeneity in the estimates. The results yield three key conclusions. First, publication bias distorts the findings of the primary studies. Second, the predictability of stock returns varies with different markets and stock types. Third, different data characteristics, structural variations and methodologies used drive the heterogeneity in the results of the primary articles. In particular, one should be cautious when using monthly data or VAR models.     

Company investment announcements and the market value of the firm

This paper examines the stock market reaction to 402 company investment announcements made by UK companies during the 1991–1996 period. The market-adjusted abnormal returns are generally positive but small. Investment announcements are classified according to functional categories, and we find the level of abnormal returns to vary according to the type of capital investment being announced. In particular, we find the market to react more favourably to investments that ‘create’ future investment opportunities, than to investments which can be categorized as ‘exercising’ investment opportunities. The market reaction also varies with firm size, with large companies tending to experience smaller responses to announcements than do smaller firms. Chung et al. (1998 Chung, KH, Wright, P and Charoenwong, C. (1998). Investment opportunities and market reaction to capital expenditure decisions. Journal of Banking and Finance, 22: 41–60.  ) reported that the quality of a company's investment opportunities is the primary determinant of market reactions to capital expenditure decisions. The findings presented here lend some support to a role for investment opportunities in market valuations. Project size is also found to have a significant positive impact on the level of abnormal returns.     

Trading and liquidity in the catastrophe bond market

We provide first insights into secondary market trading, liquidity determinants, and the liquidity premium of catastrophe bonds. Based on transaction data from TRACE (Trade Reporting and Compliance Engine), we find that cat bonds are traded less frequently during the hurricane season and more often close to maturity. Trading activity indicates that the market is dominated by brokers without a proprietary inventory. Liquidity is high in periods of high trading activity in the overall market and for bonds with low default risk or close to maturity, which results from lower order processing costs. Finally, using realized bid–ask spreads as a liquidity measure, we find that on average, 21% of the observable yield spread on the cat bond market is attributable to the liquidity premium, with a magnitude of up to 141 bps for high-risk bonds.     

Trading behaviour and market sentiment: Firm-level evidence from an emerging Islamic market

We provide firm-level evidence from an emerging Islamic market that individual investors' trading behaviour causes weekend sentiment. Using data for 285 companies listed on the Dhaka Stock Exchange (DSE) for the period from 2002 to 2019 and applying appropriate econometric techniques, the paper has found evidence of weekend effect both on return and volatility. The results confirm that individual investors' sentiment drives the weekend effect in DSE. ‘Information content theory’ and ‘information processing hypothesis’ work for investors so that the market return and volatility become significantly different on Sunday. The market sentiment effect is significant for smaller firms and low dividend yield firms where individual investors are prevalent, suggesting that trading behaviour of individual investors determines weekend sentiment. A positive feedback relationship exists between returns on Sunday and the previous Thursday for both institutions and individuals. Our results are robust in various alternative specifications.     

Information, Trading, and Product Market Interactions: Cross-sectional Implications of Informed Trading

I present a simple model of informed trading in which asset values are derived from imperfectly competitive product markets and private information events occur at individual firms. The model predicts that informed traders may have incentives to make information‐based trades in the stocks of competitors, especially when events occur at firms with large market shares. In the context of 759 earnings announcements, I use intraday transactions data to test the hypothesis that net order flow and returns in the stocks of nonannouncing competitors have information content for announcing firms.     

Macroeconomic announcements and price discovery in the foreign exchange market

This study shows that the dominance of the overlapping trading hours of London and New York in the price discovery of the EUR/USD and USD/JPY markets only applies on days with U.S. announcements. Different from Cai et al. (2008) and Wang and Yang (2011), we highlight the informational advantage of local traders at the arrival of macroeconomic announcements in the local market, and find that macroeconomic announcements affect the pattern of price discovery across different markets, consistent with Chen and Gau (2010) and Jiang et al. (2012). We also examine changes in information shares before and after the announcement. A significant increase in price discovery before the announcement suggests the possibility of information leakage, while enhanced price discovery efficacy after the announcement suggests that prices gradually adjust to new information, not just immediately respond to the arrival of announcements.     

Trading performance and market efficiency: Evidence from algorithmic trading

In India, National Stock Exchange directly identifies algorithmic trading participation. Algorithmic traders possess intraday market timing skills. Results are not motivated by extreme short-term signals or transitory price trading. Magnitude of market timing performance in cross-sectional group of traders shows that they earn profit across all the cases, and maximize while providing liquidity. Volume-weighted-average-price decomposition analysis reports algorithmic traders earn profits through intraday market timing performance for five-minute and one-minute intervals, and it is higher compared to short-term market timing performance across all trader groups. Order imbalance and price delay regressions show that algorithmic trading significantly improves price efficiency.     

Illiquidity and its discontents: Trading delays and foreclosures in the housing market

The macroeconomic effects of housing illiquidity are analyzed using a novel directed search model of housing with long-term debt and default. Debt overhang emerges when highly leveraged sellers are forced to post high prices that produce long selling delays. These delays increase foreclosures, raise default premia, and curtail credit. Cheaper credit fuels temporarily higher house prices, faster sales, and fewer foreclosures, but the borrowing surge facilitates future debt overhang and default. More stringent foreclosure punishments also expand credit and, therefore, either generate higher foreclosures or more debt overhang. Leverage caps avoid this conundrum but reduce welfare by restricting borrowing.     

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