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Selected AbstractsForecasting volatility: Roles of sampling frequency and forecasting horizon,THE JOURNAL OF FUTURES MARKETS, Issue 12 2010Wing Hong Chan This study empirically tests how and to what extent the choice of the sampling frequency, the realized volatility (RV) measure, the forecasting horizon and the time-series model affect the quality of volatility forecasting. Using highly synchronous executable quotes retrieved from an electronic trading platform, the study avoids the influence of various market microstructure factors in measuring RV with high-frequency intraday data and in inferring implied volatility (IV) from option prices. The study shows that excluding non-trading-time volatility produces significant downward bias of RV by as much as 36%. Quality of prediction is significantly affected by the forecasting horizon and RV model, but is largely immune from the choice of sampling frequency. Consistent with prior research, IV outperforms time-series forecasts; however, the information content of historical volatility critically depends on the choice of RV measure. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark [source] How electronic trading affects bid-ask spreads and arbitrage efficiency between index futures and optionsTHE JOURNAL OF FUTURES MARKETS, Issue 4 2005Kevin H. K. Cheng This paper examines the impact of switching to electronic trading on the relative pricing efficiency of Hang Sang Index futures and options contracts traded on the Hong Kong exchange. The study is motivated by the recent shift in 2000 from the pit to an electronic trading platform. Electronic trading leads to lower bid-ask spreads and less price clustering than floor trading in both the options and futures markets. Mispricing between futures and options drops significantly after the change. Quicker correction of mispricing indicates a significant improvement in dynamic inter-market arbitrage efficiency with electronic trading. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:375,398, 2005 [source] A model of price discovery and market design: Theory and empirical evidenceTHE JOURNAL OF FUTURES MARKETS, Issue 12 2004Michael T. ChngArticle first published online: 11 OCT 200 Price discovery is an essential function performed by derivative markets. For a derivative exchange, its markets' ability to incorporate information into prices to "derive" the underlying asset's value is a key objective of market design. The J. Hasbrouck (1991a) model is applied to examine the design and price discovery of a futures market. First, the model is extended to consider a comprehensive dynamic interaction between the price-size coordinates of orders and trades. Second, floor and screen tick data from LIFFE's FTSE 100 index futures market is used to estimate the two models. The significance of order size variables in the extended model suggests that order flow transparency, which is supported by an electronic trading platform, improves price discovery. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:1107,1146, 2004 [source] TRANSFORMING ENRON: THE VALUE OF ACTIVE MANAGEMENTJOURNAL OF APPLIED CORPORATE FINANCE, Issue 4 2001Vince Kaminski Soon after Enron was formed as a regulated gas pipeline company in 1985, economic events forced a dramatic reorganization of the company. The result was the creation of an unregulated energy trading operation whose mission was to capitalize on opportunities arising from the deregulation of the natural gas market The initial form of the new business was that of a "gas bank" in which Enron became an intermediary between buyers and sellers of gas, locking in the spread as profit. Since there was no source of liquidity to the market, Enron had to develop its own risk management system. Furthermore, the need to respond quickly to rapidly changing market conditions required that Enron flatten its organizational structure and hire new people whose skills were better suited to the new decentralized organization. The focus of the new Enron accordingly became human and intellectual capital, not physical assets. Employees were encouraged to move about the firm to staff new business ventures. And in what may well be a unique feature in corporate America, Enron's top management today uses its human capital flows to guide its allocations of financial capital. Other aspects of the Enron model include attempts to capitalize on the option (as opposed to current DCF) value of assets, recognition of the value of networks in adding value to trading platforms, and the use of mark-to-market accounting for business transactions as a means of ensuring transparency and promoting timely decision-making. [source] Competition For Order Flow, Market Quality, And Price Discovery In The Nasdaq 100 Index Tracking StockTHE JOURNAL OF FINANCIAL RESEARCH, Issue 3 2003Yiuman Tse Abstract We investigate competition for order flow, market quality, and price discovery in the Nasdaq 100 Index Tracking Stock (QQQ). The QQQ, an AMEX-listed, exchange-traded fund, is the most actively traded security in the U.S. equities market. On July 31, 2001, the NYSE began trading the QQQ, marking the first time it traded securities of companies it does not list. The greatest volume of trading takes place on electronic communication networks (ECNs), following by trading on the AMEX and the NYSE. Most of the block trades are executed on the AMEX, where the bid-ask spreads are narrower. We find that ECNs contribute the most to the price-discovery process. The spreads on all trading platforms have decreased and market quality and price discovery have improved since QQQ shares have traded on the NYSE. [source] Price discovery in the foreign exchange futures marketTHE JOURNAL OF FUTURES MARKETS, Issue 11 2006Yiuman Tse Examination is made of the relative contributions to price discovery of the floor and electronically traded euro FX and Japanese yen futures markets and the corresponding retail on-line foreign exchange spot markets. GLOBEX electronic futures contracts provide the most price discovery in the euro; the on-line trading spot market provides the most in the Japanese yen. The floor-traded futures markets contribute the least to price discovery in both the euro and the Japanese yen markets. The overall results show that electronic trading platforms facilitate price discovery more efficiently than floor trading. Futures traders may also extract information from on-line spot prices. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:1131,1143, 2006 [source] |