practical quant buyer’s guide for 2019
We spent many hours on research to finding practical quant, reading product features, product specifications for this guide. For those of you who wish to the best practical quant, you should not miss this article. practical quant coming in a variety of types but also different price range. The following is the top 7 practical quant by our suggestions:
We spent many hours on research to finding practical quant, reading product features, product specifications for this guide. For those of you who wish to the best practical quant, you should not miss this article. practical quant coming in a variety of types but also different price range. The following is the top 7 practical quant by our suggestions:
Best practical quant
1. A Practical Guide To Quantitative Finance Interviews
Description
This book will prepare you for quantitative finance interviews by helping you zero in on the key concepts that are frequently tested in such interviews. In this book we analyze solutions to more than 200 real interview problems and provide valuable insights into how to ace quantitative interviews. The book covers a variety of topics that you are likely to encounter in quantitative interviews: brain teasers, calculus, linear algebra, probability, stochastic processes and stochastic calculus, finance and programming.2. Practical C# and WPF for Financial Markets: Advanced C#, WPF, and MVVM Programming for Quant Developers/Analysts and Individual Traders
Description
Practical C# and WPF for Financial Markets provides a complete explanation of .NET programming in quantitative finance. It demonstrates how to implement quant models and backtest trading strategies. It pays special attention to creating business applications and reusable C# libraries that can be directly used to solve real-world problems in quantitative finance. The book contains:
Overview of C#, WPF programming, data binding, and MVVM pattern, which is necessary to create MVVM compatible .NET financial applications.
Step-by-step approaches to create a variety of MVVM compatible 2D/3D charts, stock charts, and technical indicators using my own chart package and Microsoft chart control.
Introduction to free market data retrieval from online data sources using .NET interfaces. These data include EOD, real-time intraday, interest rate, foreign exchange rate, and option chain data.
Detailed procedures to price equity options and fixed-income instruments, including European/American/Barrier options, bonds, and CDS, as well as discussions on related topics such as cash flows, term structures, yield curves, discount factors, and zero-coupon bonds.
Introduction to linear analysis, time series analysis, and machine learning in finance, which covers linear regression, PCA, SVM, and neural networks.
In-depth descriptions of trading strategy development and backtesting, including strategies for single stock trading, stock pairs trading, and trading for multi-asset portfolios.
3. 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
Feature
Used Book in Good ConditionDescription
All Practical, No BS!
Working in quantitative finance can be highly rewarding, in both intellectual and monetary terms (but especially the latter!). Quants-finance practitioners who develop and apply sophisticated mathematical and statistical models for asset pricing, trading and risk management-routinely make six figures, with the top ones raking in millions each year.
Starting Your Career as a Wall Street Quant is the first and only career guide specifically written for readers who want to get into quantitative finance and launch a lucrative career. It covers everything you wanted to know about getting a quant job, from writing an effective resume to acing job interviews to negotiating the job offer. Written by a practicing senior quant and packed with practical, useful tips (and devoid of BS that would get you nowhere), this book will help you get the quant job you want.
Want to know what the single most critical element of your resume is? Want to know how to impress any interviewer as well as what to say and what not to say at a job interview? Want to know which books to study to acquire the right kind of quantitative education, the kind relevant to finance, and to gain an edge over your competitors? You'll find the answers to these questions, and many more, in this insider's guide.
4. Practical Quantitative Finance with R: Solving Real-World Problems with R for Quant Analysts and Individual Traders
Description
The book "Practical Quantitative Finance with R Solving Real-World Problems with R for Quant Analysts and Individual Traders" provides a complete explanation of R programming in quantitative finance. It demonstrates how to prototype quant models and backtest trading strategies. It pays special attention to creating business applications and reusable R libraries that can be directly used to solve real-world problems in quantitative finance. The book contains:
a) Overview of R programming, user-defined functions, and R packages, which is necessary to create finance applications.
b) Step-by-step approaches to create a variety of 2D/3D charts, stock charts, and technical indicators with the basic R and custom R packages.
c) Introduction to free market data retrieval from online data sources using R. These market data include EOD, real-time intraday, interest rate, foreign exchange rate, and option-chain data.
d) Detailed procedures to price equity options and fixed-income instruments, including European/American/Barrier options, bonds, and CDS, as well as related topics such as cash flows, term structures, yield curves, discount factors, and zero-coupon bonds.
e) Introduction to linear analysis, time series analysis, and machine learning in finance, which covers linear regression, PCA, ARIMA, GARCH, KNN, random forest, SVM, and neural networks.
f) In-depth descriptions of trading strategy development and backtesting, including strategies for single stock trading, stock pairs trading, and trading for multi-asset portfolios.
g) Introduction to portfolio optimization based on the mean-variance and mean-CVaR methods
5. Starting Your Career as a Wall Street Quant: A Practical, No-BS Guide to Getting a Job in Quantitative Finance
Feature
Used Book in Good ConditionDescription
Now updated and revised to reflect industry changes in the aftermath of the 2008 financial meltdown! First published in 2007, this unique career guide focuses on the quantitative finance job market. Written specifically for readers who want to get into quantitative finance, this book covers everything you wanted to know about landing a quant job, from writing an effective resume to acing job interviews to negotiating a job offer. An experienced senior quant, the author offers tons of practical, no-BS advice and tips to guide you through the difficult process of getting a quant job, especially in today's weak economy.6. By Brett Jiu Ph.D.: Starting Your Career as a Wall Street Quant: A Practical, No-BS Guide to Getting a Job in Quantitative Finance
Description
Now updated and revised to reflect industry changes in the aftermath of the 2008 financial meltdown! First published in 2007, this unique career guide focuses on the quantitative finance job market. Written specifically for readers who want to get into quantitative finance, this book covers everything you wanted to know about landing a quant job, from writing an effective resume to acing job inter...7. 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 by Brett Jiu (2007-06-18)