Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Comparative study of risk measures
Download
index.pdf
Date
2005
Author
Ekşi, Zehra
Metadata
Show full item record
Item Usage Stats
324
views
87
downloads
Cite This
There is a little doubt that, for a decade, risk measurement has become one of the most important topics in finance. Indeed, it is natural to observe such a development, since in the last ten years, huge amounts of financial transactions ended with severe losses due to severe convulsions in financial markets. Value at risk, as the most widely used risk measure, fails to quantify the risk of a position accurately in many situations. For this reason a number of consistent risk measures have been introduced in the literature. The main aim of this study is to present and compare coherent, convex, conditional convex and some other risk measures both in theoretical and practical settings.
Subject Keywords
Finance.
URI
http://etd.lib.metu.edu.tr/upload/12606501/index.pdf
https://hdl.handle.net/11511/15365
Collections
Graduate School of Applied Mathematics, Thesis
Suggestions
OpenMETU
Core
Stochastic volatility, a new approach for vasicek model with stochastic volatility
Zeytun, Serkan; Hayfavi, Azize; Department of Financial Mathematics (2005)
In the original Vasicek model interest rates are calculated assuming that volatility remains constant over the period of analysis. In this study, we constructed a stochastic volatility model for interest rates. In our model we assumed not only that interest rate process but also the volatility process for interest rates follows the mean-reverting Vasicek model. We derived the density function for the stochastic element of the interest rate process and reduced this density function to a series form. The para...
Statistical methods in credit rating
Sezgin, Özge; Yıldırak, Şahap Kasırga; Department of Financial Mathematics (2006)
Credit risk is one of the major risks banks and financial institutions are faced with. With the New Basel Capital Accord, banks and financial institutions have the opportunity to improve their risk management process by using Internal Rating Based (IRB) approach. In this thesis, we focused on the internal credit rating process. First, a short overview of credit scoring techniques and validation techniques was given. By using real data set obtained from a Turkish bank about manufacturing firms, default predi...
Coherent and convex measures of risk
Yıldırım, İrem; Körezlioğlu, Hayri; Department of Financial Mathematics (2005)
One of the financial risks an agent has to deal with is market risk. Market risk is caused by the uncertainty attached to asset values. There exit various measures trying to model market risk. The most widely accepted one is Value-at- Risk. However Value-at-Risk does not encourage portfolio diversification in general, whereas a consistent risk measure has to do so. In this work, risk measures satisfying these consistency conditions are examined within theoretical basis. Different types of coherent and conve...
Additional factor in asset-pricing: Institutional ownership
Uğurlu-Yıldırım, Ecenur; Şendeniz Yüncü, İlkay (Elsevier BV, 2020-01-01)
In this paper, we hypothesize that institutional investor variable is a proxy for some systematic risk factors, which should be incorporated into the asset-pricing model. Mimicking portfolio for institutional ownership, called IMI (Institutional minus Individual), is constructed. Including IMI to the Carhart's 4-factor model captures the common variations in returns better than all other models that are tested. Consistent with the literature, the new 5-factor model improves mispricing mostly in portfolios i...
How do political and economic news affect emerging markets? Evidence from Argentina and Turkey
Onder, Zeynep; Simga-Mugan, Can (Informa UK Limited, 2006-07-01)
High returns in emerging markets over the last decade have attracted international investors. This study investigates if and how economic or political news affects stock market activity in two emerging markets: Argentina and Turkey. Our analysis shows that political and economic news influences both the volatility of returns and trading volume in these markets to varying degrees. Results suggest that both economic and political factors, as well as specific market characteristics, should be taken into consid...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
Z. Ekşi, “Comparative study of risk measures,” M.S. - Master of Science, Middle East Technical University, 2005.