Answered step by step
Verified Expert Solution
Link Copied!

Question

1 Approved Answer

... sics 3. Suppose the log price process P(t) follows the below continuous-time stochastic differ- ence equation: dP(t) = (t)dt + o(t)dW(t) (1) where (t)

...

sics

image text in transcribed

3. Suppose the log price process P(t) follows the below continuous-time stochastic differ- ence equation: dP(t) = (t)dt + o(t)dW(t) (1) where (t) and o(t) are, respectively, drift and diffusion (volatility) processes, and W(t) is a standard Brownian motion. We normalize the time interval with length 1 for 1 day. [18pt] 1 (i) Explain how you would model the one-minute log returns of a stock traded in a daily six-and-half-hour market using this continuous-time model. (ii) How are the intra-day one-minute returns distributed on day t. Here t = 1,2,.... (iii) Why the drift term is often assumed away in the intra-day high-frequency return analysis? Explain the relative magnitudes of drift and volatilty components in the intra-day return analysis, especially when the sampling interval shrinks to zero. (iv) Explain how to use the heterogeneous autoregression (HAR) model for volatility forecasting. (v) Both HAR model and GARCH type models can provide volatility forecasts. What are the key differences between these two methodologies? (vi) Interpret the two tables on Page 431 and 432 of the textbook. 3. Suppose the log price process P(t) follows the below continuous-time stochastic differ- ence equation: dP(t) = (t)dt + o(t)dW(t) (1) where (t) and o(t) are, respectively, drift and diffusion (volatility) processes, and W(t) is a standard Brownian motion. We normalize the time interval with length 1 for 1 day. [18pt] 1 (i) Explain how you would model the one-minute log returns of a stock traded in a daily six-and-half-hour market using this continuous-time model. (ii) How are the intra-day one-minute returns distributed on day t. Here t = 1,2,.... (iii) Why the drift term is often assumed away in the intra-day high-frequency return analysis? Explain the relative magnitudes of drift and volatilty components in the intra-day return analysis, especially when the sampling interval shrinks to zero. (iv) Explain how to use the heterogeneous autoregression (HAR) model for volatility forecasting. (v) Both HAR model and GARCH type models can provide volatility forecasts. What are the key differences between these two methodologies? (vi) Interpret the two tables on Page 431 and 432 of the textbook

Step by Step Solution

There are 3 Steps involved in it

Step: 1

blur-text-image

Get Instant Access to Expert-Tailored Solutions

See step-by-step solutions with expert insights and AI powered tools for academic success

Step: 2

blur-text-image

Step: 3

blur-text-image

Ace Your Homework with AI

Get the answers you need in no time with our AI-driven, step-by-step assistance

Get Started

Recommended Textbook for

Financial Management Theory And Practice

Authors: Prasanna Chandra

8th Edition

0071078401, 978-0071078405

More Books

Students also viewed these Finance questions

Question

Discuss five types of employee training.

Answered: 1 week ago

Question

Identify the four federally mandated employee benefits.

Answered: 1 week ago