Build an option valuation model which incorporates the different interest rate shifts.
Quantitative Research Intern Interview Questions
4,814 quantitative research intern interview questions shared by candidates
Some rates questions, simple questions about distributions, questions about black scholes and option pricing. Questions focused on trivial and well-known examples rather than deeper or bigger-picture issues.
normal distribution, random walk, black-scholes, C++ related, how to output correlated random values
Do you know binomial tree?
- Do you know VBA ? (Yes or no and that's it, no coding interview even some computer science questions to assess your knowledge) - Do you know stochastic calculus? (Yes or no, same thing) - What do you know about Fixed Income? What is a coupon? - Can you hedge a bond portfolio against the inflation risk? How would you do it?
Consider a geometric Brownian motion martingale with stochastic volatility. The logarithm of the latent volatility follows a fractional Brownian motion, with an unknown “volatility of volatility” and Hurst exponent H. (a) Write the stochastic differential equations for the system as described. (b) Assuming the model represents a stock price and given a historical price sampled every second, describe your approach for fitting the model. How would you estimate the latent volatility? Be specific. (c) The current volatility model is non-stationary. Suggest and justify an adjustment to make it stationary. What are the revised equations?
Consider the following code: 1 double f ( double x ) { 2 if ( x == 0) 3 return 1.0; 4 return f (0.5 * x ) + f (0.3 * x ) ; 5 } Analyze the time and memory complexities of this function. Provide asymptotically tight bounds.
What is the sharpe ratio of the project?
Given expected return and volatility of each asset, also given expected return of your portfolio, how to choose the weight on different assets to minimize the variance of your portfolio?
A easy Python Dictionary Question about the hangman
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