EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: person:"Kanishka, Kunal"
Narrow search

Narrow search

Year of publication
Subject
All
Asset pricing 1 GARCH 1 LR ratio 1 Risk metrics 1 T-GARCH 1 VaR 1 Volatility Forecasting 1
more ... less ...
Online availability
All
Free 2
Type of publication
All
Book / Working Paper 2
Language
All
English 1 Undetermined 1
Author
All
Kanishka, Kunal 2 Mehta, Anirudh 2
Institution
All
Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
All
MPRA Paper 1
Source
All
BASE 1 RePEc 1
Showing 1 - 2 of 2
Cover Image
Modeling and Forecasting Volatility – How Reliable are modern day approaches?
Mehta, Anirudh; Kanishka, Kunal - Volkswirtschaftliche Fakultät, … - 2014
This study explores the volatility models and evaluates the quality of one-step ahead forecasts of volatility constructed by (1) GARCH, (2) TGARCH, (3) Risk metrics and (4) Historical volatility. Volatility forecasts suggest that TGARCH performs relatively best in term of MSPE, followed by...
Persistent link: https://www.econbiz.de/10011109012
Saved in:
Cover Image
Modeling and Forecasting Volatility – How Reliable are modern day approaches?
Mehta, Anirudh; Kanishka, Kunal - 2014
This study explores the volatility models and evaluates the quality of one-step ahead forecasts of volatility constructed by (1) GARCH, (2) TGARCH, (3) Risk metrics and (4) Historical volatility. Volatility forecasts suggest that TGARCH performs relatively best in term of MSPE, followed by...
Persistent link: https://www.econbiz.de/10015244938
Saved in:
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...