Frequently Asked Questions in Quantitative Finance

Frequently Asked Questions in Quantitative Finance pdf epub mobi txt 電子書 下載2025

出版者:Wiley
作者:Paul Wilmott
出品人:
頁數:428 页
译者:
出版時間:2007-01-03
價格:USD 49.95
裝幀:Paperback
isbn號碼:9780470058268
叢書系列:
圖書標籤:
  • quant 
  • finance 
  • interview 
  • 金融 
  • quantative 
  • mathematics 
  • business 
  • Finance 
  •  
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Paul Wilmott writes,

"Quantitative finance is the most fascinating and rewarding real-world application of mathematics. It is fascinating because of the speed at which the subject develops, the new products and the new models which we have to understand. And it is rewarding because anyone can make a fundamental breakthrough.

"Having worked in this field for many years, I have come to appreciate the importance of getting the right balance between mathematics and intuition. Too little maths and you won't be able to make much progress, too much maths and you'll be held back by technicalities. I imagine, but expect I will never know for certain, that getting the right level of maths is like having the right equipment to climb Mount Everest; too little and you won't make the first base camp, too much and you'll collapse in a heap before the top.

"Whenever I write about or teach this subject I also aim to get the right mix of theory and practice. Finance is not a hard science like physics, so you have to accept the limitations of the models. But nor is it a very soft science, so without those models you would be at a disadvantage compared with those better equipped. I believe this adds to the fascination of the subject.

"This FAQs book looks at some of the most important aspects of financial engineering, and considers them from both theoretical and practical points of view. I hope that you will see that finance is just as much fun in practice as in theory, and if you are reading this book to help you with your job interviews, good luck! Let me know how you get on!"

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概念部分還是講得很有趣很有助理解的 不過演算偏少 十二種推Black-Scholes的方法可以膜一下!

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quant麵試基本功

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quant麵試基本功

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實用 新穎 妙趣

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概念部分還是講得很有趣很有助理解的 不過演算偏少 十二種推Black-Scholes的方法可以膜一下!

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