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151 trading strategies

Kakushadze, Zura.

151 trading strategies

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	151 trading strategiesby Zura Kakushadze, Juan Andres Serur.
作者:	Kakushadze, Zura.
其他作者:	Serur, Juan Andres.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xx, 480 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Commodity exchanges.
電子資源:	https://doi.org/10.1007/978-3-030-02792-6
ISBN:	9783030027926$q(electronic bk.)

151 trading strategies
Kakushadze, Zura.

151 trading strategies[electronic resource] /by Zura Kakushadze, Juan Andres Serur. - Cham :Springer International Publishing :2018. - xx, 480 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9783030027926$q(electronic bk.)

Standard No.: 10.1007/978-3-030-02792-6doiSubjects--Topical Terms:

210050
Commodity exchanges.

LC Class. No.: HG6046 / .K358 2018

Dewey Class. No.: 332.644

151 trading strategies
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505 0 $a 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.
520 $a 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.
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