Uncertainty Analysis of the Carbon Tax on Net Profit for an Enterprise

Article Preview

Abstract:

A carbon emission trading/carbon tax is an economic incentive to encourage enterprises to reduce their carbon emissions. The information of greenhouse gas emissions at 2005-2009, carbon emissions trading prices in Europe, the euro-NT dollar exchange rate, and the profits and losses of enterprises, manufacturers of panel-related technology, were gathered to estimate VaR (Value at Risk) and CVaR (Conditional Value at Risk) values of implementing carbon tax or carbon emissions trading, using the Monte Carlo simulation method with the Crystal Ball software. This study uses sensitivity analysis, tornado diagrams, and spider graphs to determine the influence that variables have on enterprise net profit.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

4197-4202

Citation:

Online since:

October 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] P. Jorion : Value at Risk. McGraw Hill, second edition (2001).

Google Scholar

[2] D. Duffie, and J. Pan: An Overview of Value at Risk, The Journal of Derivatives 4, 7-49 (1997).

Google Scholar

[3] C.O. Alexander and C.T. Leigh: On the Covariance Matrics Used in Value at Risk Models, The Journal of Derivatives 4, 50-62 (1997).

Google Scholar

[4] D. Hendricks: Evaluation of Value at Risk Models Using Historical data, Economics Policy Review 2, 39-69 (1996).

Google Scholar

[5] P. Badík: Use of the VaR Method for Measuring Market Risks and Calculating CapitalAdequacy, Biatec, 13, 17-21(2005).

Google Scholar

[6] X. Jin, and A.X. Zhang: Reclaiming Quasi–Monte Carlo Efficiency in Portfolio Valueat-Risk Simulation Through Fourier Transform, Management Science, 52, 925-938 (2006).

DOI: 10.1287/mnsc.1060.0505

Google Scholar

[7] J. Detemple, R. Garcia and M. Rindisbacher: A Monte Carlo Method for Optimal Portfolios, The Journal of Finance 58, 401–446 (2000).

DOI: 10.1111/1540-6261.00529

Google Scholar

[8] F. Longin: From VaR to stress testing : the extreme value approach, Journal of Banking and Finance 24, 1097-1130(2000).

DOI: 10.1016/s0378-4266(99)00077-1

Google Scholar

[9] L.K. Hotta, E.C. Lucas and H.P. Plaro: Estimation of VaR Using Copula and Extreme Value Theory. Multinational Finance Journal 12, 205-218(2008).

DOI: 10.17578/12-3/4-3

Google Scholar

[10] J.A. Gordon and M.B. Alexandre: A Comparison of VaR and CVaR Constraints on Portfolio Selection with the Mean-Variance Model, Management Sci. 50, 1261–1273 (2004).

DOI: 10.1287/mnsc.1040.0201

Google Scholar

[11] B. Arjan, C. Phornchanok and K. Roy: The Effect of VaR Based Risk Management on Asset Prices and the Volatility Smile, European Financial Management 8, 139–164 (2002).

DOI: 10.1111/1468-036x.00182

Google Scholar

[12] P. Jorion: Value at Risk: The New Benchmark for Controlling Market Risk. McGraw-Hill (1997).

Google Scholar

[13] M. Pritsker: Evaluating Value at Risk Methodologies. Journal of Financial Services Research 12, 201–242 (1997).

Google Scholar

[14] S. Uryasev: Conditional Value-at-Risk: Optimization Algorithms and Applications Financial Engineering News 14, February (2000).

Google Scholar

[15] Y.H., Lin and Y.H. Chang: Significant Factors of Aviation Insurance and Risk Management Strategy: An Empirical Study of Taiwanese Airline Carriers, Risk Analysis 28, 453-461(2008).

DOI: 10.1111/j.1539-6924.2008.01036.x

Google Scholar

[16] M. Bazerman: Climate Change as a Predictable Surprise. Climate Change 77, 179–193(2006).

DOI: 10.1007/s10584-006-9058-x

Google Scholar

[17] D.G. Shaw and Y.H. Hwang: Research on Green Tax Reform, research report of Chung-Hua Institution for Economic Research (2009).

Google Scholar