john hulls option,futures and derivatives VS The Concepts and Practice of Mathematical Finance by Mark Joshi

[Squasher]

Which is a better book to start with?
Do they serve a similar purpose ?

 

[Quasar Chunawala]

OFOD as the title suggests gives you some flavor of basic derivative products, and provides financial literacy in a digestible format. The book by Mark Joshi is a classic, like Shreve covers the basic ideas in mathematical finance.

 

[Squasher]

The one by mark Joshi and Shreves stochastic calculus are interchangeable?

 

[syunus]

I guess Shrev is more subject driven(Stochastic) and Mark Joshi is more product driven.

 

[Squasher]

I guess Shrev is more subject driven(Stochastic) and Mark Joshi is more product driven.

Got it.. thanks

 

[Daniel Duffy]

Buy Hull and Joshi.

 

[Squasher]

Buy Hull and Joshi.

Shreve as well?

 

[Daniel Duffy]

Shreve as well?

Depends on your mathematical sophistication.
Hull is practical.

 

[Squasher]

Depends on your mathematical sophistication.
Hull is practical.

I am a math graduate with statistics as a minor

 

[EverythingPOINT]

I am a math graduate with statistics as a minor

In that case , Hull should help to learn about the different flavors of derivatives.

 

[Squasher]

In that case , Hull should help to learn about the different flavors of derivatives.

So should I study hull, then Joshi and then both the shreve books? There is also financial calculus by Baxter and rennie

 

[EverythingPOINT]

So should I study hull, then Joshi and then both the shreve books? There is also financial calculus by Baxter and rennie

I would say start with Hull (Business school kind of learning derivatives) and Joshi (for learning applications of mathematical principles to Finance).

 

[Squasher]

i have already started with Hull.
Which one should i pick up after I am done with Joshi?

 

[noether-skolem]

Shreve is pretty good if you didn't have formal training in stochastic. Bonus point is that you can very easily find problem solutions for it on the internet, which could help if you're stuck in some of the harder exercises. If you've studied a bit of stochastic before you can probably jump to the second book which goes more in-depth to continuous time stuffs.

 

[Squasher]

Shreve is pretty good if you didn't have formal training in stochastic. Bonus point is that you can very easily find problem solutions for it on the internet, which could help if you're stuck in some of the harder exercises. If you've studied a bit of stochastic before you can probably jump to the second book which goes more in-depth to continuous time stuffs.

Thank you
Is such knowledge about stochastics etc more important than C++ knowledge for quant internship interviews? I am asking because I hv limited time and cannot study everything in that time period.

 

[noether-skolem]

I'd say you need both programming and maths (you don't need C++ per se, unless the specific company/role you're aiming for requires it, most coding interviews can be done in other languages, python is the most common from my experience). For technical interviews they'll ask you anything from tricky probability questions, statistics, stochastic, dynamic programming, machine learning, etc. depending on the company/role.

If you have to prioritize one, get your programming skills to a decent level first before anything else. If you can't pass programming tests you probably won't even get the chance to speak to a human being.

 

[Squasher]

I'd say you need both programming and maths (you don't need C++ per se, unless the specific company/role you're aiming for requires it, most coding interviews can be done in other languages, python is the most common from my experience). For technical interviews they'll ask you anything from tricky probability questions, statistics, stochastic, dynamic programming, machine learning, etc. depending on the company/role.

If you have to prioritize one, get your programming skills to a decent level first before anything else. If you can't pass programming tests you probably won't even get the chance to speak to a human being.

Which roles require C++?
I'm going to be studying Pdes and finite diff methods and I've heard that c++is used alongside these concepts

 

[Squasher]

I'd say you need both programming and maths (you don't need C++ per se, unless the specific company/role you're aiming for requires it, most coding interviews can be done in other languages, python is the most common from my experience). For technical interviews they'll ask you anything from tricky probability questions, statistics, stochastic, dynamic programming, machine learning, etc. depending on the company/role.

If you have to prioritize one, get your programming skills to a decent level first before anything else. If you can't pass programming tests you probably won't even get the chance to speak to a human being.

Also, which topics/applications of python should I focus on for quant roles?

 

[noether-skolem]

Which roles require C++?
I'm going to be studying Pdes and finite diff methods and I've heard that c++is used alongside these concepts

C++ developer roles would require C++, python developer would require python. Check linkedin/job boards for the roles you're interested in and check if you see many of them requiring certain languages.

Also, which topics/applications of python should I focus on for quant roles?

Also depends on what roles you want to apply for. Again, check job listings you want to qualify for and see what they want. You should be able to do some basic programming in multiple languages though, in case some interviews don't allow you to use certain languages. I've had interviews that only allow python, because that's what the company/team uses. I assume there are similar roles that only use C++.

 

[Squasher]

Got it.. I'll check out and see what the job boards say