05442nam 2200709Ia 450 991079208120332120230802012909.01-283-59377-79786613906229981-4405-46-9(CKB)2560000000093377(EBL)1019638(OCoLC)811504399(SSID)ssj0000682407(PQKBManifestationID)11471539(PQKBTitleCode)TC0000682407(PQKBWorkID)10677705(PQKB)11712003(MiAaPQ)EBC1019638(WSP)00002766(Au-PeEL)EBL1019638(CaPaEBR)ebr10596915(CaONFJC)MIL390622(EXLCZ)99256000000009337720120419d2012 uy 0engurcn|||||||||txtccrCalendar anomalies and arbitrage[electronic resource] /by William T. ZiembaNew Jersey World Scientific20121 online resource (607 p.)World Scientific series in finance,2010-1082 ;v. 2Includes index.981-4405-45-0 Includes bibliographical references and index.Contents; Preface; List of Co-authors; Acknowledgements; 1. Introduction - Calendar Anomalies C. S. Dzhabarov and W. T. Ziemba; 1.1 Introduction to Seasonal Anomaly Effects; 1.2 January Effect; 1.2.1 Trading the January small cap effect in the futures markets; 1.3 The January Barometer; 1.3.1 How to trade the January Barometer (JanB); 1.3.2 The international January Barometer; 1.4 Sell-in-May-and-go-away; 1.4.1 Same month next year; 1.5 Holiday Effects; 1.5.1 The sell on Rosh Hashanah and buy on Yom Kippur anomaly; 1.5.2 Ramadan; 1.6 Day of the Week Effects1.7 Option Expiry Effects in the Russell 2000 and S&P 500 Futures Markets 1.8 Seasonality Calendars; 1.9 Political Effects 3; 1.9.1 When Congress is in session; 1.9.2 Election cycles; US bond returns after presidential elections; Some simple presidential investment strategies; Remarks; 1.9.3 Election cycles: Other literature; 1.10 Turn-of-the-month Effects; 1.11 Open/Close Daily Trade on the Open; 1.12 Industry Concentration; 1.12.1 Weather: Sun, rain, snow, moon and the stars and clouds; 1.13 Conclusions and Final Remarks; References2. Playing the Turn-of-the-Year Effect With Index Futures R. Clark and W. T. Ziemba 1. The Evidence; 2. Analysis of the Evidence; Probable Causes; Excess Returns; Excess Profits; 3. Strategies; 5. The 1986/87 Play; 6. Conclusions; Acknowledgment; References; 3. Arbitrage Strategies for Cross-Track Betting on Major Horse Races D. B. Hausch and W. T. Ziemba; I. Introduction; II. Efficiency of the Various Betting Markets; III. Inefficiency of the Win Market and the Risk-free Hedging Model; IV. The Optimal Capital Growth Model; V. Testing the One-Track Capital Growth Model; VI. Final DiscussionReferences 4. Locks at the Racetrack D. B. Hausch and W. T. Ziemba; Our lock concentrates on the show market; The show payoff on Arbor Hoggart is thought to be the highest show payoff of any sort; 5. Arbitrage and Risk Arbitrage in Team Jai Alai D. Lane and W. T. Ziemba; Acknowledgments; 1. INTRODUCTION; 2. THE ARBITRAGE; 3. RISK ARBITRAGES; 4. FINAL REMARKS; References; 6. Miscellaneous Inserts; a. The Buying and Selling Behavior of Individual Investors at the Turn of the Year: Discussion; REFERENCESb. Russell Report - The January Barometer: European, North American, Pacific and Worldwide Results 1 Introduction; 2 The US Evidence; 3 Worldwide Evidence; 4 Final Remarks; 5 References; 6 Appendix; c. Occupational Nostalgia; d. U.S. Bears Bets May Roil Japan's Turmoil/ Bearish Betters in U.S. May Be Partly Behind Upheavals in Tokyo; e. Nikkei Put Options Good Buy for Foreign Funds Managers; f. Buying Stock? Consider Turn-of-the-Month Effect; h. Turn, Turn, Turn: To Every Stock Price There Is a Reason for the Month-to-Month Price Jump; g. Making Dollar-Cost Averaging Even More Profitablei. Russell Report - Investment Results From Exploiting Turn-of the- Month EffectsThis book discusses calendar or seasonal anomalies in worldwide equity markets as well as arbitrage and risk arbitrage. A complete update of US anomalies such as the January turn-of-the year, turn-of-the-month, January barometer, sell in May and go away, holidays, days of the week, options expiry and other effects is given concentrating on the futures markets where these anomalies can be easily applied. Other effects that lend themselves to modified buy and hold cash strategies include the presidential election and factor models based on fundamental anomalies. The ideas have been used successfulWORLD SCIENTIFIC SERIES IN FINANCEStocksPricesStock price forecastingArbitrageSeasonal variations (Economics)StocksPrices.Stock price forecasting.Arbitrage.Seasonal variations (Economics)332.64/5Ziemba W. T122735MiAaPQMiAaPQMiAaPQBOOK9910792081203321Calendar anomalies and arbitrage3758369UNINA