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Information Effects (information + effects)

Distribution by Scientific Domains

Business, Economics, Finance and Accounting	100%

Selected Abstracts

Information Effects of Trade Size and Trade Direction: Evidence from the KOSPI 200 Index Options Market,

ASIA-PACIFIC JOURNAL OF FINANCIAL STUDIES, Issue 3 2010
Hee-Joon Ahn
G10; G13 Abstract In the present study, we examine two important issues related to the information content of a trade in option markets: (i) whether trade size is related to information content; and (ii) whether buy and sell transactions carry different information content. Our analysis is based on comprehensive market microstructure data on the KOSPI 200 options, the single most actively traded derivative securities in the world. We use two structural models modified from the Madhavan et al. [Review of Financial Studies 10 (1997) 1035,1064] model, the size-dependent model (SDM), and the dummy variable model (DVM). The SDM incorporates trade size in the model to estimate the magnitude of the information content of a trade. The DVM separately estimates information contents for buyer- and seller-initiated trades using a dummy variable. Our SDM analysis reveals that large trades are in general more informative than small trades. The results from the DVM analysis indicate that buyer-initiated trades generally have greater information content than seller-initiated trades. A further analysis using investor-type information shows that the asymmetry in information content between buy and sell trades is mostly attributable to the orders submitted by foreign and domestic institutional investors. [source]

Does an Industry Effect Exist for Initial Public Offerings?

FINANCIAL REVIEW, Issue 4 2003
Aigbe Akhigbe
G14 Abstract We examine the impact of initial public offerings (IPOs) on rival firms and find that the valuation effects are insignificant. This insignificant reaction can be explained by offsetting information and competitive effects. Significant positive information effects are associated with IPOs in regulated industries and the first IPO in an industry following a period of dormancy. Significant negative competitive effects are associated with larger IPOs in competitive industries, those in relatively risky industries, those in high-performing industries, and those in the technology sector. IPO firms that use the proceeds for debt repayment appear to represent a more significant competitive threat to rival firms relative to IPO firms that use their proceeds for other purposes. [source]

Political Cycles in the Australian Stock Market since Federation

THE AUSTRALIAN ECONOMIC REVIEW, Issue 4 2009
Andrew C. Worthington
This article examines the political cycles in Australian stock returns from 1901,2005. The article defines the political cycle in terms of the party in power, ministerial tenure and election information effects. The market variables are returns, excess returns over inflation and excess returns over interest rates. Descriptive analysis suggests differences in the variance of returns under Labor and non-Labor ministries, but no significant differences in mean returns. Using a generalised autoregressive conditional heteroskedastistic-M model, returns are found to be higher only for non-Labor ministries before 1949 and there is no difference in excess returns over inflation or interest throughout the full sample. [source]

Large trades and intraday futures price behavior

THE JOURNAL OF FUTURES MARKETS, Issue 12 2008
Alex Frino
This study examines the effects of large trades executed by outside customer on the prices of futures contracts traded on the Chicago Mercantile Exchange. We find that, on average, large buyer-initiated trades have a larger permanent price impact (information effect) than large seller-initiated trades, whereas the opposite is found for the temporary price impact (liquidity effects) of large trades. These results are consistent with previous findings for block and institutional trades in equity markets. However, we also find that the information effects of large sells are larger than large buys in bearish markets, whereas the results are the reverse in bullish markets. The liquidity price effects of buys are larger than the liquidity price effects of sells in bearish markets whereas the reverse results hold in bullish markets. Our results are consistent with the hypothesis that the current economic condition is a key determinant of asymmetric price effects between large buys and large sells. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:1147,1181, 2008 [source]

Do Informed Traders Trade More When the Market Is Thick?

ASIA-PACIFIC JOURNAL OF FINANCIAL STUDIES, Issue 4 2010
Evidence from the Nikkei 225 Index Redefinition of April 2000
G10; G14; G15 Abstract Using the Nikkei 225 index redefinition that took place in April 2000, we examine whether informed traders strategically trade more when they face increased liquidity trading, as predicted by Admati & Pfleiderer (1988). The significant increase (decrease) in liquidity trading for the new additions (deletions) caused by index trading activities after index redefinition offers a valuable opportunity to empirically test the predictions of Admati and Pfleiderer. The April 2000 index redefinition was not accompanied by any information effects because the event itself was unrelated to changes in firm fundamentals, nor did it involve any information confirmation effects. Our empirical findings support the predictions of the strategic information trader model. We find that informed trading, as measured by the probability of informed trading, increases significantly after additions and decreases significantly after deletions. Further analysis reveals that probability of informed trading changes are associated with changes in investor composition, especially for domestic institutions and foreign shareholders. [source]

The Impact of Trade Characteristics on Stock Return Volatility: Evidence from the Australian Stock Exchange,

ASIA-PACIFIC JOURNAL OF FINANCIAL STUDIES, Issue 2 2009
Alex Frino
Abstract This study examines the impact of trade characteristics on stock return volatility. Using a sample of transaction data from the Australian Stock Exchange, the trading frequency of medium sized trades is found to have the greatest impact on stock return volatility. The result lends support to the stealth trading hypothesis (Barclay and Warner, 1993). After controlling for trading frequency, the average trade size is found to have little explanatory power on price volatility. Stock return volatility is more sensitive to buyer-initiated trades than seller-initiated trades, especially so for buyer-initiated medium sized trades. This finding is consistent with the assertion that information effects are stronger for buys than for sells (Chan and Lakonishok, 1993). [source]