151 Trading Strategies

• Κύριοι συγγραφείς: Kakushadze, Zura (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Serur, Juan Andrés (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Palgrave Macmillan, 2018.
• Έκδοση: 1st ed. 2018.
• Θέματα: Capital market.; Investment banking.; Securities.; Capital Markets.; Investments and Securities.

 The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students. 

 1. Introduction -- 2. Options -- 3. Stocks -- 4. Exchange-traded funds (ETFs) -- 5. Fixed Income -- 6. Indexes -- 7. Volatility -- 8. Foreign Exchange (FX) -- 9. Commodities -- 10. Futures -- 11. Structured Assets -- 12. Convertibles -- 13. Tax Arbitrage -- 14. Miscellaneous Assets -- 15. Distressed Assets -- 16. Real Estate -- 17. Cash -- 18. Cryptocurrencies -- 19. Global Macro -- 20. Infrastructure.