| 書目名稱 | Forecasting and Hedging in the Foreign Exchange Markets |
| 編輯 | Christian Ullrich |
| 視頻video | http://file.papertrans.cn/346/345296/345296.mp4 |
| 叢書名稱 | Lecture Notes in Economics and Mathematical Systems |
| 圖書封面 |  |
| 描述 | Historical and recent developments at international ?nancial markets show that it is easy to loose money, while it is dif?cult to predict future developments and op- mize decision-making towards maximizing returns and minimizing risk. One of the reasons of our inability to make reliable predictions and to make optimal decisions is the growing complexity of the global economy. This is especially true for the f- eign exchange market (FX market) which is considered as one of the largest and most liquid ?nancial markets. Its grade of ef?ciencyand its complexityis one of the starting points of this volume. From the high complexity of the FX market, Christian Ullrich deduces the - cessity to use tools from machine learning and arti?cial intelligence, e.g., support vector machines, and to combine such methods with sophisticated ?nancial mod- ing techniques. The suitability of this combination of ideas is demonstrated by an empirical study and by simulation. I am pleased to introduce this book to its - dience, hoping that it will provide the reader with interesting ideas to support the understanding of FX markets and to help to improve risk management in dif?cult times. Moreover, I hope th |
| 出版日期 | Book 2009 |
| 關(guān)鍵詞 | Analysis; Distribution; Finance; Financial Modeling; Hedging; Motivation; Statistical Analysis; artificial |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-00495-7 |
| isbn_softcover | 978-3-642-00494-0 |
| isbn_ebook | 978-3-642-00495-7Series ISSN 0075-8442 Series E-ISSN 2196-9957 |
| issn_series | 0075-8442 |
| copyright | Springer-Verlag Berlin Heidelberg 2009 |
|Archiver|手機版|小黑屋|
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