DocumentCode :
1816786
Title :
Introduction to financial risk assessment using Monte Carlo simulation
Author :
Strong, Robert A. ; Steiger, Natalie M. ; Wilson, James R.
Author_Institution :
Maine Bus. Sch., Univ. of Maine, Orono, ME, USA
fYear :
2009
fDate :
13-16 Dec. 2009
Firstpage :
99
Lastpage :
118
Abstract :
The fundamental principles of financial risk assessment are discussed, with primary emphasis on using simulation to evaluate and compare alternative investments. First we introduce the key measures of performance for such investments, including net present value, internal rate of return, and modified internal rate of return. Next we discuss types of risk and the key measures of risk, including expected present value; the mean, standard deviation, and coefficient of variation of the rate of return; and the risk premium. Finally we detail the following applications: (i) stand-alone risk assessment for a capital-budgeting problem; (ii) comparison of risk-free and risky investment strategies designed merely to keep up with the cost of living; (iii) value-at-risk (VAR) analysis for a single-stock investment; (iv) VAR analyses for two-asset portfolios consisting of stock and either call or put options; and (v) VAR analyses for two-asset portfolios consisting of both puts and calls.
Keywords :
Monte Carlo methods; budgeting; investment; probability; risk management; Monte Carlo simulation; VAR analysis; capital-budgeting problem; cost of living; financial risk assessment; internal rate of return; mean; net present value; risk premium; risk-free; risky investment; single-stock investment; stand-alone risk assessment; standard deviation; two-asset portfolio; value-at-risk; variation coefficient; Costs; Investments; Measurement standards; Modeling; Portfolios; Reactive power; Risk analysis; Risk management; Systems engineering and theory; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2009 Winter
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-5770-0
Type :
conf
DOI :
10.1109/WSC.2009.5429323
Filename :
5429323
Link To Document :
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