Content area

Abstract

VaR represents an advanced model of risk management, appropriate for estimating the financial risk of a financial title taken individually or of a portfolio of titles. The research aims to quantify the maximum loss of the securities value, based on their daily closing prices, at a 5% relevance level, using the historical simulation method. The research sample consists of a number of 33 companies belonging to the manufacturing industry in Romania, listed on the Bucharest Stock Exchange, at standard and premium categories. Based on a number of 260 statistical observations, corresponding to the working days from the period 01.01.2016 - 31.12.2016, it was determined the maximum loss of value for investors, at the potofolio's level and also for the title that belongs to the company with the highest rentability of the closing price. The results have shown that by diversifying the investment in a portfolio of securities, the potential loss of value for investors it's reduced substantially.

Details

1009240
Location
Company / organization
Title
The risk assessment of the investments in the companies belonging to the manufacturing industry in Romania, listed on the Bucharest Stock Exchange
Author
Balteş, Nicolae 1 ; Dragoe, Alexandra-Gabriela-Maria 2 

 Lucian Blaga University of Sibiu, România, [email protected] 
 Lucian Blaga University of Sibiu, România, [email protected] 
Volume
10
Issue
2
Supplement
Special Issue
Pages
99-104
Publication year
2017
Publication date
2017
Publisher
Transilvania University of Brasov
Place of publication
Brasov
Country of publication
Romania
Publication subject
ISSN
20652194
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
2099345501
Document URL
https://www.proquest.com/scholarly-journals/risk-assessment-investments-companies-belonging/docview/2099345501/se-2?accountid=208611
Copyright
© 2017. This work is published under NOCC (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-12-05
Database
ProQuest One Academic