<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
		>
<channel>
	<title>Comments on: Frequently Asked Questions in Quantitative Finance</title>
	<atom:link href="http://www.carfreedc.info/2009/11/frequently-asked-questions-in-quantitative-finance/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.carfreedc.info/2009/11/frequently-asked-questions-in-quantitative-finance/</link>
	<description></description>
	<lastBuildDate>Thu, 25 Feb 2010 02:29:49 +0000</lastBuildDate>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.3.1</generator>
<xhtml:meta xmlns:xhtml="http://www.w3.org/1999/xhtml" name="robots" content="noindex" />
	<item>
		<title>By: Shafik Yaghmour</title>
		<link>http://www.carfreedc.info/2009/11/frequently-asked-questions-in-quantitative-finance/#comment-1989</link>
		<dc:creator>Shafik Yaghmour</dc:creator>
		<pubDate>Mon, 30 Nov 2009 02:53:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.carfreedc.info/2009/11/frequently-asked-questions-in-quantitative-finance/#comment-1989</guid>
		<description>I am working through my master&#039;s degree in Financial Engineering (quantitative track) and this book is almost bar-none one of the best references I have found. It starts out with a FAQ that covers almost all of the important questions such as:
&lt;br /&gt;
&lt;br /&gt;-What are the different types of Mathematics found in Quantitative Finance?
&lt;br /&gt;-What is CAPM?
&lt;br /&gt;-What is Maximum Likelihood Estimation?
&lt;br /&gt;-What is Ito&#039;s lemma?
&lt;br /&gt;-What are the &#039;greeks&#039;?
&lt;br /&gt;-How robust is the Black-Scholes model?
&lt;br /&gt;
&lt;br /&gt;The answers are short yet at the same time very useful. Each answer has well thought out examples that allow you to get to the core of the topic. At the end of each answer there are references if you want to explore the topic in more detail. 
&lt;br /&gt;
&lt;br /&gt;The book then has sections on:
&lt;br /&gt;
&lt;br /&gt;-Most Popular Probability Distributions and Their Uses in Finance
&lt;br /&gt;-Ten Different Ways to Derive Black-Scholes
&lt;br /&gt;-Models and Equations
&lt;br /&gt;-The Black-Scholes formula and the Greeks
&lt;br /&gt;-Common Contracts
&lt;br /&gt;-Popular Quant Books
&lt;br /&gt;-The Most Popular Search Words and Phrases on [...]
&lt;br /&gt;-Brainteasers
&lt;br /&gt;-Paul &amp; Dominic&#039;s Guide to Getting a Quant Job
&lt;br /&gt;
&lt;br /&gt;It is clearly not a text-book, it covers a lot of ground in a little more than 400 pages but it is a useful reference and if you need a review this will fill the purpose. It is definitely not the place to start your learning for that you will need to check out books such as: Neftci&#039;s &quot;Principles of Financial Engineering&quot;, Hull&#039;s &quot;Options, Futures and Other Derivatives&quot; and Shreve&#039;s &quot;Stochastic Calculus for Finance&quot; I and II. Once you have started out this can help you fill in holes and figure out where you need to focus on.
Rating: 5 / 5</description>
		<content:encoded><![CDATA[<p>I am working through my master&#8217;s degree in Financial Engineering (quantitative track) and this book is almost bar-none one of the best references I have found. It starts out with a FAQ that covers almost all of the important questions such as:</p>
<p>-What are the different types of Mathematics found in Quantitative Finance?<br />
<br />-What is CAPM?<br />
<br />-What is Maximum Likelihood Estimation?<br />
<br />-What is Ito&#8217;s lemma?<br />
<br />-What are the &#8216;greeks&#8217;?<br />
<br />-How robust is the Black-Scholes model?</p>
<p>The answers are short yet at the same time very useful. Each answer has well thought out examples that allow you to get to the core of the topic. At the end of each answer there are references if you want to explore the topic in more detail. </p>
<p>The book then has sections on:</p>
<p>-Most Popular Probability Distributions and Their Uses in Finance<br />
<br />-Ten Different Ways to Derive Black-Scholes<br />
<br />-Models and Equations<br />
<br />-The Black-Scholes formula and the Greeks<br />
<br />-Common Contracts<br />
<br />-Popular Quant Books<br />
<br />-The Most Popular Search Words and Phrases on [...]<br />
<br />-Brainteasers<br />
<br />-Paul &#038; Dominic&#8217;s Guide to Getting a Quant Job</p>
<p>It is clearly not a text-book, it covers a lot of ground in a little more than 400 pages but it is a useful reference and if you need a review this will fill the purpose. It is definitely not the place to start your learning for that you will need to check out books such as: Neftci&#8217;s &#8220;Principles of Financial Engineering&#8221;, Hull&#8217;s &#8220;Options, Futures and Other Derivatives&#8221; and Shreve&#8217;s &#8220;Stochastic Calculus for Finance&#8221; I and II. Once you have started out this can help you fill in holes and figure out where you need to focus on.<br />
Rating: 5 / 5</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Franz Woyzeck</title>
		<link>http://www.carfreedc.info/2009/11/frequently-asked-questions-in-quantitative-finance/#comment-1988</link>
		<dc:creator>Franz Woyzeck</dc:creator>
		<pubDate>Mon, 30 Nov 2009 00:44:28 +0000</pubDate>
		<guid isPermaLink="false">http://www.carfreedc.info/2009/11/frequently-asked-questions-in-quantitative-finance/#comment-1988</guid>
		<description>This is a very helpful little manual. No serious student or derivatives pro should be without it. It covers many of the practically relevant aspects of derivatives pricing in a very original and lucid way, thereby opening new perspectives even for the seasoned pro. I give it to juniors in my team (and should be giving it to many senior colleagues too.).Some of the most outstanding chapters:
&lt;br /&gt;
&lt;br /&gt;- Ten Different Ways to Derive Black/Scholes
&lt;br /&gt;- The Most Popular Search Words and Phrases on Wilmott.com
&lt;br /&gt;- Paul &amp; Dominics Guide to Getting a Quant Job 
&lt;br /&gt;- Popular Quant Books
&lt;br /&gt;
Rating: 5 / 5</description>
		<content:encoded><![CDATA[<p>This is a very helpful little manual. No serious student or derivatives pro should be without it. It covers many of the practically relevant aspects of derivatives pricing in a very original and lucid way, thereby opening new perspectives even for the seasoned pro. I give it to juniors in my team (and should be giving it to many senior colleagues too.).Some of the most outstanding chapters:</p>
<p>- Ten Different Ways to Derive Black/Scholes<br />
<br />- The Most Popular Search Words and Phrases on Wilmott.com<br />
<br />- Paul &#038; Dominics Guide to Getting a Quant Job<br />
<br />- Popular Quant Books<br />
<br />
Rating: 5 / 5</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: LJ Haasbroek</title>
		<link>http://www.carfreedc.info/2009/11/frequently-asked-questions-in-quantitative-finance/#comment-1987</link>
		<dc:creator>LJ Haasbroek</dc:creator>
		<pubDate>Sun, 29 Nov 2009 22:13:03 +0000</pubDate>
		<guid isPermaLink="false">http://www.carfreedc.info/2009/11/frequently-asked-questions-in-quantitative-finance/#comment-1987</guid>
		<description>If you have been away from the office for long or have been busy on a long boring project for months, this is the book to refresh your memory before you get back to quant world.  It contains lots of quantitative finance-related need-to-know and a bit of nice-to-know information.  It is written in a question-followed-by-answer format in witty English.  Mostly prominent quanty questions collected from the online Wilmott FAQ project are featured.  For those in a hurry short answers are provided first.  For more detail a long answer including some math is also shown.  When you start reading the FAQ section you do not want to stop which is a good thing.  In a way the ease with which so much need-to-know information is made available makes you feel you are cheating - getting a sort-of unfair advantage on quanty knowledge.  
&lt;br /&gt;
&lt;br /&gt;However, some sections, for example the quant finance time line, brainteasers, frequent Wilmott search phrases and how to write a CV and prepare for a job interview seemed a bit out of place given the title of the book.  Although these added nice-to-know sections may be useful to some, like those looking for a quant job, it dilutes the focus of the book somewhat.  At the time of writing this it is also nearly twice as expensive as competing books e.g. Heard on the Street: Quantitative Questions from Wall Street Job Interviews and Starting Your Career as a Wall Street Quant: A Practical, No-BS Guide to Getting a Job in Quantitative Finance and Launching a Lucrative Career putting a question mark on the value for money.  Still, overall I think it is a very useful book for quant students and practitioners.  I&#039;ll give it four stars.
&lt;br /&gt;
Rating: 4 / 5</description>
		<content:encoded><![CDATA[<p>If you have been away from the office for long or have been busy on a long boring project for months, this is the book to refresh your memory before you get back to quant world.  It contains lots of quantitative finance-related need-to-know and a bit of nice-to-know information.  It is written in a question-followed-by-answer format in witty English.  Mostly prominent quanty questions collected from the online Wilmott FAQ project are featured.  For those in a hurry short answers are provided first.  For more detail a long answer including some math is also shown.  When you start reading the FAQ section you do not want to stop which is a good thing.  In a way the ease with which so much need-to-know information is made available makes you feel you are cheating &#8211; getting a sort-of unfair advantage on quanty knowledge.  </p>
<p>However, some sections, for example the quant finance time line, brainteasers, frequent Wilmott search phrases and how to write a CV and prepare for a job interview seemed a bit out of place given the title of the book.  Although these added nice-to-know sections may be useful to some, like those looking for a quant job, it dilutes the focus of the book somewhat.  At the time of writing this it is also nearly twice as expensive as competing books e.g. Heard on the Street: Quantitative Questions from Wall Street Job Interviews and Starting Your Career as a Wall Street Quant: A Practical, No-BS Guide to Getting a Job in Quantitative Finance and Launching a Lucrative Career putting a question mark on the value for money.  Still, overall I think it is a very useful book for quant students and practitioners.  I&#8217;ll give it four stars.<br />
<br />
Rating: 4 / 5</p>
]]></content:encoded>
	</item>
</channel>
</rss>

