Measuring Efficiency for Volatile Exposure to Exchange
Rate Risk Base Supported by Fuzzy DEA Approach
- - Hsien-Chang Kuo and Lie-Huey Wang
This study uses the Fuzzy Data Envelopment Analysis (DEA) to measure the efficiency of the Multinational
Corporations (MNCs) of the Taiwan Information Technology (IT) industry, in the face of volatile exposure to exchange rate risk.
The Integrated Chip (IC) industry is represented by 48 firms and the Thin Firm Transistor-Liquid Crystal Display
(TFT-LCD) industry is represented by 55 firms. The results show that: 10 firms each in both TFT-LCD and IC industries are
efficient, while 8 firms in the IC industry and 12 firms in the TFT-LCD industry are relatively inefficient. The remaining 30
firms in the IC industry and 33 firms in the TFT-LCD industry are inefficient. The results also reveal that both large-sized
MNCs with a high degree of internationalization and small-sized MNCs with a low degree of internationalization tend to be
relatively efficient.
© 2009 Hsien-Chang Kuo and Lie-Huey Wang. All Rights Reserved.
Capital Allocation to Meet Mortality Risks
for Life Annuities
- - Annamaria Olivieri and Ermanno Pitacco
This paper investigates the rules for assessing the capital required by a life annuity portfolio to meet the mortality risks,
the longevity risk in particular. Risks other than mortality are disregarded. Rules which could be adopted in the internal
models have been discussed. Approaches based on a deferral and matching or an asset and liability logic are further developed in
this paper, in which rules that could be adopted in internal models have been discussed. For practical purpose, this approach
could represent a good compromise, provided that the relevant assumptions are properly disclosed.
© 2009 IUP. All Rights Reserved.
Basel II Capital Requirement Sensitivity to the Definition
of Default
- - Jirí Witzany
The paper is motivated by a disturbing observation according to which the outcome of the regulatory formula
significantly depends on the definition of default used to measure the Probability of Default (PD) and the Loss Given Default
(LGD) parameters. Basel II regulatory capital should estimate, with certain probability level, the unexpected credit losses on
banking portfolios, and so it should not depend on a particular definition of default that does not change real, historical and
expected losses. This paper provides an explanation of the phenomenon based on the Merton default model and tests it using a
Monte Carlo simulation. Moreover, it develops an analytical method to model LGD unexpected risk and to combine it with the
PD unexpected risk. The developed formula and, in particular, its simplified version could be used to improve the current
regulatory formula. The analysis, at the same time, provides a different insight into the issue of regulatory capital sensitivity to the
definition of default. Finally, the paper performs a structural model-based simulation to test the hypothesis according to which
scoring functions developed with a soft definition of default have weaker predictive power than the ones developed with a hard
definition of default.
© 2009 IUP. All Rights Reserved.
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