What Are Borel Spaces and Sigma Algebras in Stochastic Calculus for Finance?

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The discussion centers on preparing for interviews at major finance firms, particularly focusing on the importance of stochastic calculus and related mathematical concepts. Participants emphasize the need for a solid understanding of measure theory, probability, and stochastic differential equations (SDEs). Recommendations include studying resources like Oksendal and Shreve, with inquiries about Borel spaces and sigma algebras. The interview format is highlighted, noting that candidates will face progressively challenging questions to assess both their knowledge limits and their reactions to difficult queries. Self-study is acknowledged as a valid approach, with one participant sharing their background in physics and expressing uncertainty about the applicability of their knowledge in finance. Overall, the conversation underscores the significance of both theoretical and applied mathematics in finance interview preparation.
Iforgot
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Hey,

I'm studying for interviews at the big finance firms, where I hear they grill you on stochastic calculus and finance stuff.

I'm currently studying Oksendal and Shreve, and while I can follow the applied math parts, I would like to get a firmer grasp on the pure math parts. Does anyone know what subject Borel spaces and sigma algebras fall under, and recommend any books on the subject.

Iforgot
 
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Measure theory and probability. There are lots of free introductory materials online waiting for you to google.
 
Iforgot said:
I'm studying for interviews at the big finance firms, where I hear they grill you on stochastic calculus and finance stuff.

Yes and no. If you don't have deep background on SDE's, then they are likely to see if you know what Ito's lemma is and then grill you on whatever you did your Ph.D. research on.

Something I'd read up on is measure theory and maybe something on markov processes. Also, if you are a physics geek, then it might help if you read up on some very basic statistics and econometrics.

The other thing that will help you is the format of the interview. What will happen is that you will be asked increasingly difficult questions until you get to something that you don't know. What people are interested in seeing is both the limit of your knowledge, but also how you react when you hit your limits.
 
Iforgot said:
Hey,

I'm studying for interviews at the big finance firms, where I hear they grill you on stochastic calculus and finance stuff.

I'm currently studying Oksendal and Shreve, and while I can follow the applied math parts, I would like to get a firmer grasp on the pure math parts. Does anyone know what subject Borel spaces and sigma algebras fall under, and recommend any books on the subject.

Hi there, Iforgot.

I do not want to hijack your thread but I am curious to know how you are finding those textbooks? My expertise is in graph theory - when I began considering jobs in finance I had thought this would serve me well, now I don't really think so. Graph theory is math, but it isn't really complicated. I am not sure how much my applications in data mining will help.. May I ask where your own background lies? I wonder how much self-studying will be 'accepted' - obviously I am taking a similar approach to you and learning whatever I can about related topics, I just hope not using this material in a professional capacity will pose no disadvantage.

Good luck with any interviews.


Neil.
 
It's ok to hijack. I'll forgive you.

I found these textbooks through friends in my program, who found out through their connections.

I just finished my PhD in physics.

Accepted self studying: I've seen it take people a long way. Personally, I haven't taken it anywhere yet.
 
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