The Forecasting Performance and Informational Content of Stock Options on the London Traded Options Market PDF Download
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Author: M. Li
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: M. Li
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Ser-Huang Poon
Publisher: John Wiley & Sons
ISBN: 0470856157
Category : Business & Economics
Languages : en
Pages : 236
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Book Description
Financial market volatility forecasting is one of today's most important areas of expertise for professionals and academics in investment, option pricing, and financial market regulation. While many books address financial market modelling, no single book is devoted primarily to the exploration of volatility forecasting and the practical use of forecasting models. A Practical Guide to Forecasting Financial Market Volatility provides practical guidance on this vital topic through an in-depth examination of a range of popular forecasting models. Details are provided on proven techniques for building volatility models, with guide-lines for actually using them in forecasting applications.
Author: Jonathan A. Batten
Publisher: Springer
ISBN: 1137025093
Category : Business & Economics
Languages : en
Pages : 422
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The latest research on measuring, managing and pricing financial risk. Three broad perspectives are considered: financial risk in non-financial corporations; in financial intermediaries such as banks; and finally within the context of a portfolio of securities of different credit quality and marketability.
Author: Li Ge
Publisher: Open Dissertation Press
ISBN: 9781361379738
Category :
Languages : en
Pages :
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This dissertation, "Informational Content of Options Trading on Equity Returns and Corporate Events" by Li, Ge, 葛麗, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: This dissertation consists of three empirical studies about the informational content of options trading on subsequent equity returns and around major corporate events, such as mergers and acquisitions, and bankruptcies. The first chapter examines the informational content of options trading on acquirer announcement returns. I show that implied volatility spread predicts positively on the cumulative abnormal return (CAR), and implied volatility skew predicts negatively on the CAR. The predictability is much stronger around actual merger and acquisition (M&A) announcement days, compared with pseudo-event days. The prediction is weaker if pre-M&A stock price has incorporated part of the information, but stronger if acquirer's options trading is more liquid. Finally, I find that higher relative trading volume of options to stock predicts higher absolute CARs. The relation also exists among the target firms. In the second chapter, I reassess the presence of pre- bankruptcy-filing informed and insider trades by examining the information content of options trading before bankruptcy announcements. I find that bankruptcy filing returns are not significantly related to pre-filing insider stock trading. However, filing returns are significantly negatively related to pre-filing insider and informed options trading. The informational content of options trading reduces with options illiquidity and the amount of information impounded into pre-filing stock prices. In the third chapter, I use data on signed option volume to study which components of option volume predict returns and resolve the apparent inconsistency in the literature. I find no evidence that trades related to synthetic short positions in the underlying stocks contain more information than trades related to synthetic long positions. Purchases of calls that open new positions are the strongest predictor of returns, followed by call sales that close out existing purchased call positions. The signed O/S measures also predict announcement returns for both earnings announcements and unscheduled corporate events. Overall the results indicate that the role of options in providing embedded leverage is the most important channel why options trading predict stock returns. Subjects: Options (Finance)
Author: Gordon T. Gemmill
Publisher:
ISBN:
Category : Options (Finance)
Languages : en
Pages : 12
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Author: Thi Thanh Van Le
Publisher:
ISBN:
Category : Options (Finance)
Languages : en
Pages : 376
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Despite a growing research interest in option trading and its impact on the pricing of the underlying asset, the role of options as a vehicle for informed trading remains an important economic question which has not yet been fully explored. In fact, even though academics have often argued that informed traders may prefer to trade in the option market rather than the equity market1, the question of whether (and to what extent) such a proposition would hold in practice has not been systematically addressed in the literature. This overarching research problem forms the foundation of this doctoral research project, leading to two important research questions. First, if investors do in fact use options to trade on information about underlying stock prices in practice, what implications does this have for the option (stock) pricing and forecasting? Second, what are the key factors driving traders' decisions to trade on new information in one market over another? These two issues correspond to the two gaps found in the extant literature on option trading, and also in the strand of empirical studies focusing on the role of options as a mechanism for trading on information about the underlying asset. To explore these research questions, three interrelated projects have been undertaken, each with a unique contribution to informing the research topic. These closely related investigations jointly provide consolidated answers to the two research questions raised previously. In response to the first research question, we pursue two strands of empirical investigation to examine the presence of informed trading in the option market. Firstly, we investigate the extent to which the information content extracted from options trading can be used to enhance predictions of the future volatility realised by underlying stocks. Secondly, we examine the price impact of information trading activities within the option market, focusing especially on the way in which the level of trading activities can explain and predict the future dynamics of the option implied volatility smile. Both of these strands yield evidence in support of information trading activities existing in the option market. Regarding the second research question, our collective evidence indicates that the allocation of informed traders between option and stock markets depends on the trade-off of transaction costs and trading opportunities existing in two related markets. This finding has consistently been corroborated by separate evidence emerging from our independent investigations. We found that the degree of information trading in the option market varies across different stocks, corresponding to variations in the level of individual stock liquidity. It has also been found that the degree of information asymmetry of option trades changed in response to changes in trading costs driven by regulatory changes observed during the 2008 short-sale ban. This research makes a valuable contribution to the field of option research. From the theoretical perspective, it addresses significant gaps in the existing literature and extends our understanding of informed trading activities in the option market. In particular, it contributes to the body of knowledge on the economic value of derivatives by investigating the critical role they have played in the process of incorporating new information into the market. From the practical perspective, it proposes a simple-yet-effective technique which employs trading volume to improve forecasts of the underlying stock volatility and of the option implied volatility (price) respectively. Since volatility plays such a central role in the practice of derivatives trading, risk analysis and portfolio management, better forecasts of these quantities are clearly important and highly regarded by practitioners. 1 Mainly due to higher financial leverages, reduced transactions costs and wider trading opportunities (eg speculation on volatility) (Black, 1975).
Author: Stephen Satchell
Publisher: Elsevier
ISBN: 0080471420
Category : Business & Economics
Languages : en
Pages : 428
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Book Description
Forecasting Volatility in the Financial Markets, Third Edition assumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting-edge modelling and forecasting techniques. It provides a survey of ways to measure risk and define the different models of volatility and return. Editors John Knight and Stephen Satchell have brought together an impressive array of contributors who present research from their area of specialization related to volatility forecasting. Readers with an understanding of volatility measures and risk management strategies will benefit from this collection of up-to-date chapters on the latest techniques in forecasting volatility. Chapters new to this third edition:* What good is a volatility model? Engle and Patton* Applications for portfolio variety Dan diBartolomeo* A comparison of the properties of realized variance for the FTSE 100 and FTSE 250 equity indices Rob Cornish* Volatility modeling and forecasting in finance Xiao and Aydemir* An investigation of the relative performance of GARCH models versus simple rules in forecasting volatility Thomas A. Silvey Leading thinkers present newest research on volatility forecasting International authors cover a broad array of subjects related to volatility forecasting Assumes basic knowledge of volatility, financial mathematics, and modelling
Author: Rafiqul Bhuyan
Publisher:
ISBN:
Category :
Languages : en
Pages : 43
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In this paper, we use daily closing data on CBOE options of 30 stocks during February through July of 1999 to investigate whether options open interest contains information that can be used for trading purposes. Individual stock price at option maturity is first predicted based on the distribution of options open interest. Several stock only and stock plus options directional trading strategies are then considered after comparing the predicted stock price at maturity and the actual stock price at the trade initiation date. In our sample, these trading strategies generate better returns compared to the Samp;P 500, the buy and hold strategy involving the sample stocks and the Merton et al (1978) style covered call strategy. Our empirical evidence thus indicates that non-price measures of activity in the derivatives market such as the open interest contain information about the future level of the underlying asset. This lends support to prior works (such as Copeland and Galai (1983), and Easley et al (1998)) that suggest that the derivatives cannot be considered redundant in a market with information-related frictions. One implication is that the distribution of non-price derivatives market activity may be helpful for other purposes where the physical instead of the risk-neutral distribution of the underlying asset is needed. These include beta estimation, volatility forecasting and volatility trading.
Author:
Publisher:
ISBN:
Category : Banks and banking
Languages : en
Pages : 1028
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Author: Zekun Wu
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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This dissertation consists of three essays that explore the information content embedded in equity options. The results improve our understanding of the cross-section of option returns, informed trading in the options market, and the industry effect of IPOs. In the first essay, we study the relation between option-implied skewness (IS) and the crosssection of option returns under daily hedging to better understand skewness pricing in isolation from lower moments. Creating portfolios of delta-hedged (D-hedged) and delta-vega-hedged (DV-hedged) options with daily rebalancing, we find that IS is negatively (positively) related to call (put) option returns, but the relation to put options is statistically significant only during economic recessions. The relation is more substantial when the underlying stock has a larger market beta and when the firm has more severe information opacity. Our results suggest that investors' skewness preference grows stronger with greater market risk and lower information quality. In the second essay, we examined the informed trading in the options market before FDA drug advisory committee meetings. We find significant abnormal options trading volume before both meeting dates and report creation dates, particularly for small drug firms. Abnormal volume significantly predicts post-meeting stock returns. Informed traders prefer out-of-the-money options and choose maturities to cover the dates when reports are publicly released. They prefer to sell options close to the meeting date, perhaps to capture returns from both expected stock price changes and the sharp drop in implied volatility post-meeting. In the third essay, I investigate the effect of initial public offerings (IPOs) on industry competitors' options market. I find that rival firms' put (call) options volume increases (decreases) around IPOs, leading to price pressure on call options relative to put options as measured by the implied volatility spread. Rival firms' reaction in the options market also predicts the IPO firms' post-IPO stock performance. Lastly, rival firms with strong operating income experience less negative impact in the options market, suggesting competitive operation performance help stabilize rival firms' options market around IPOs.
