Answered step by step
Verified Expert Solution
Link Copied!

Question

1 Approved Answer

I need to calculate the component VaR with this data using the norm _ weight for the portfolio weight and the return series for the

I need to calculate the component VaR with this data using the norm_weight for the portfolio weight and the return series for the returns of each security. This is a sample (dummy) data so it only contains return_0 to return_6. the real dataset will contain return_0 to return_255. The component VaR is defined as:
dollar component VaR ($VaR )= NZ\alpha \sigma = sum of i=1 NZ\alpha wi(cov_matrix w/\sigma ) where NZ is the normal distribution and Z score and alpha is at 97.5 level, w is the weight, i is at ith security. sigma is the volatility.
please give the solution in Python. Thank you\table[[Product,Month,Price,\table[[Quantity ollar]],Valu,Daily_Vol,Total_Value,Norm_Weight,return_0,return_1,return_2,return_3,return_4,return_5,return_6,index_col,product_type,date],[C,2023-12,23,10,150,0.12,1478000,0.219891746,-0.2,0.3,0.4,0.5,0.5,0.6,,65TC_C Dec 23,cape,2023-12],[C,2023-01,24,0,0,0.12,1478000,0,0.1,0.3,0.4,0.5,0.5,0.6,0.6,65TC_C Jan 23,cape,2023-01],[C,2023-02,25,0,0,0.12,1478000,0,0.2,0.3,0.4,0.5,0.5,0.6,0.6,65TC_C Feb 23,cape,2023-02],[C,2023-03,26,0,0,0.12,1478000,0,0.2,0.3,0.4,0.5,0.5,0.6,0.6,65TC_C Mar 23,cape,2023-03],[C,2023-04,26,0,0,0.12,1478000,0,0.2,0.3,0.4,0.5,0.5,0.6,0.6,65TC_CApr 23,cape,2023-04],[C,2023-05,26,0,0,0.12,1478000,0,0.2,0.3,0.4,0.5,0.5,0.6,0.6,65TC_C May 23,cape,2023-05],[C,2023-06,26,0,0,0.12,1478000,0,0.2,0.3,0.4,0.5,0.5,0.6,0.6,65TC_C Jun 23,cape,2023-06
image text in transcribed

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

Introduction to Wireless and Mobile Systems

Authors: Dharma P. Agrawal, Qing An Zeng

4th edition

1305087135, 978-1305087132, 9781305259621, 1305259629, 9781305537910 , 978-130508713

More Books

Students also viewed these Programming questions

Question

What's your favorite kind of weather?

Answered: 1 week ago