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Informed Trading Before Positive Vs. Negative Earnings Surprises

Informed Trading Before Positive Vs. Negative Earnings Surprises
Author: Kyojik Song
Publisher:
Total Pages: 42
Release: 2017
Genre:
ISBN:

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This paper investigates whether institutional investors trade profitably around earnings announcements. We argue that institutions have informational advantage before negative earnings surprises but not before positive earnings surprises since the positive news tend to leak to market before the event. Using unique Korean data over the period of 2001-2010, we find that trading volume decreases only before the negative event due to information asymmetry among investors. We also find that institutions sell the stock before the negative earnings surprises but individual investors do not anticipate the bad news, and that trade imbalance by the institutions is positively related to the announcement abnormal returns of the negative events. The evidence is consistent with our conjecture that the domestic institutions exploit their superior information around the negative earnings surprises. Our results also show that foreign investors do not have any informational advantage compared to local investors on the upcoming earnings news.


Informed Trading Before Positive Vs. Negative Earnings Surprises

Informed Trading Before Positive Vs. Negative Earnings Surprises
Author: Tae Jun Park
Publisher:
Total Pages:
Release: 2014
Genre:
ISBN:

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This paper investigates whether institutional investors trade profitably around the announcements of positive or negative earnings surprises. Using Korean data over the period of 2001-2010, we find that information asymmetry is larger before negative earnings surprises (earnings shock) among investors and that the trading volume decreases only before earnings shock announcements due to the severe information asymmetry. We also find that institutions sell their stocks prior to earnings shock announcements whereas individual and foreign investors do not anticipate bad news. Finally, we find that institutional trade imbalance is positively related to the post-announcement abnormal returns of negative events. This study complements and extends prior literature on informed trading around earnings announcements by documenting evidence that domestic institutions exploit their superior information around particularly earnings shock announcements.


Trading on Corporate Earnings News

Trading on Corporate Earnings News
Author: John Shon
Publisher: FT Press
Total Pages: 225
Release: 2011-03-09
Genre: Business & Economics
ISBN: 0132615851

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Profit from earnings announcements, by taking targeted, short-term option positions explicitly timed to exploit them! Based on rigorous research and huge data sets, this book identifies the specific earnings-announcement trades most likely to yield profits, and teaches how to make these trades—in plain English, with real examples! Trading on Corporate Earnings News is the first practical, hands-on guide to profiting from earnings announcements. Writing for investors and traders at all experience levels, the authors show how to take targeted, short-term option positions that are explicitly timed to exploit the information in companies’ quarterly earnings announcements. They first present powerful findings of cutting-edge studies that have examined market reactions to quarterly earnings announcements, regularities of earnings surprises, and option trading around corporate events. Drawing on enormous data sets, they identify the types of earnings-announcement trades most likely to yield profits, based on the predictable impacts of variables such as firm size, visibility, past performance, analyst coverage, forecast dispersion, volatility, and the impact of restructurings and acquisitions. Next, they provide real examples of individual stocks–and, in some cases, conduct large sample tests–to guide investors in taking advantage of these documented regularities. Finally, they discuss crucial nuances and pitfalls that can powerfully impact performance.


Evidence of Informed Trading Prior to Earnings Announcements

Evidence of Informed Trading Prior to Earnings Announcements
Author: John Affleck-Graves
Publisher:
Total Pages: 22
Release: 2014
Genre:
ISBN:

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This study examines transactions in stocks during the thirty trading days prior to earnings announcements. Using two methodologies, we find evidence of informed trading for initiators of large transactions (presumably institutions) but not for initiators of small transactions (presumably individuals). Specifically, we find that, relative to a control period, initiators of large transactions tend to buy (sell) stocks prior to earnings announcements that exceed (fall short of) analyst forecasts. In addition, the fraction of total stock price movement that occurs on large transactions is substantially higher during the pre-announcement period than during the control period. Results of both tests suggest, contrary to previous research, that some large traders have and use superior private information prior to large earnings surprises.


Market Fragmentation and Post-Earnings Announcements Drift

Market Fragmentation and Post-Earnings Announcements Drift
Author: Justin Cox
Publisher:
Total Pages: 33
Release: 2019
Genre:
ISBN:

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This study examines the effects of dark and lit market fragmentation around both earnings announcements and earnings surprises. I find that both dark and lit market fragmentation increase around earnings announcements. I further test whether dark and lit fragmentation hinders the level of price discovery around the earnings announcement, resulting in greater post-earnings announcement drift, PEAD. My analysis reveals that lit fragmentation has no significant impact on PEAD while dark fragmentation reduces the level of PEAD for stocks with positive earnings surprises consistent with the notion that dark venues capture more uninformed trading around positive news events, resulting in greater informed trading and higher informational efficiency on the lit venue. However, my results also indicate that dark fragmentation leads to stronger PEAD for stocks with negative earnings surprises. This last finding suggests that informed traders migrate to dark venues around negative earnings surprise, consistent with previous literature that argues informed traders follow passive trading strategies around negative news events.


Asymmetric Effects of Informed Trading on the Cost of Equity Capital

Asymmetric Effects of Informed Trading on the Cost of Equity Capital
Author: Michael J. Brennan
Publisher:
Total Pages: 59
Release: 2015
Genre:
ISBN:

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We decompose the structural estimate of the probability of informed trading, PIN, into components that capture informed trading on good and on bad news. We estimate these two components at quarterly intervals, and provide new evidence that they capture informed trading around earnings announcements. Specifically, a high likelihood of trading on favorable (adverse) private information predicts positive (negative) earnings surprises. Motivated by arguments that investors may be more concerned about informed selling, which depresses the sale price of net long security holders, than about informed buying, which raises the sale price, we then investigate asymmetry in the pricing of private information as captured by the two different components of PIN. We find strong evidence of such asymmetry: the estimated effect of adverse private information on the equity cost of capital is large and highly significant, while the estimated effect of favorable private information is small and statistically insignificant.


The Empirical Analysis of Liquidity

The Empirical Analysis of Liquidity
Author: Craig Holden
Publisher: Now Publishers
Total Pages: 90
Release: 2014-11-28
Genre: Business & Economics
ISBN: 9781601988744

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We provide a synthesis of the empirical evidence on market liquidity. The liquidity measurement literature has established standard measures of liquidity that apply to broad categories of market microstructure data. Specialized measures of liquidity have been developed to deal with data limitations in specific markets, to provide proxies from daily data, and to assess institutional trading programs. The general liquidity literature has established local cross-sectional patterns, global cross-sectional patterns, and time-series patterns.


Market Efficiency, Short Sales and Announcement Effects

Market Efficiency, Short Sales and Announcement Effects
Author: Lin Zheng
Publisher:
Total Pages: 0
Release: 2009
Genre:
ISBN:

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In this dissertation I aim at improving the understanding of the informativeness of short-selling in the context of the motivation, the impact on future stock returns, and the relation with market efficiencies. In Chapter 1, I study short sellers' reactions after quarterly earnings announcements as well as the associations between short sales and post announcement stock returns. Short sales increase immediately after both negative and positive earnings surprises. After positive earnings surprises, short sellers appear to act as contrarians, and trade against stock price overreaction, thereby inducing price reversal in the long run. After negative earnings surprises, short sellers act as momentum traders, and trade with post earnings announcement drift. However, they are not able to fully arbitrage away the downside post earnings announcement drift. The short sellers' different reactions at subsequent surprises in a series of same-sign earnings surprises implies that short sellers exploit the consequences of other investors' behavioral biases. The results highlight the motivations and impacts for short sales after earnings announcements. In Chapter 2, I investigate the informativeness of short-selling by combining Probability of Information-based Trading measure and short sales transaction data. Short sales depress stock returns in the short run, regardless of the information asymmetry level. However, short sales can not predict future stock return in the long run if information asymmetry levels are low. Large size short sales are the most informed. When short sales constraints are more binding, short-selling is more informed, especially for the stocks with high information asymmetry levels. In Chapter 3, I examine short sales prior to merger and acquisition announcements for acquiring firms. Short-selling increases prior to stock-financed not cash-financed mergers and acquisitions. Pre-announcement abnormal short-selling is negatively related to post-announcement stock returns. Short sellers are informed of the method of payment, but not the outcome. The results also indicate that short-sellers are more active in stocks with larger firm size, lower book-to-market ratio, and higher liquidity.


Implied Volatility Functions

Implied Volatility Functions
Author: Bernard Dumas
Publisher:
Total Pages: 34
Release: 1996
Genre: Options (Finance)
ISBN:

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Abstract: Black and Scholes (1973) implied volatilities tend to be systematically related to the option's exercise price and time to expiration. Derman and Kani (1994), Dupire (1994), and Rubinstein (1994) attribute this behavior to the fact that the Black-Scholes constant volatility assumption is violated in practice. These authors hypothesize that the volatility of the underlying asset's return is a deterministic function of the asset price and time and develop the deterministic volatility function (DVF) option valuation model, which has the potential of fitting the observed cross-section of option prices exactly. Using a sample of S & P 500 index options during the period June 1988 through December 1993, we evaluate the economic significance of the implied deterministic volatility function by examining the predictive and hedging performance of the DV option valuation model. We find that its performance is worse than that of an ad hoc Black-Scholes model with variable implied volatilities.