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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Pouliasis, Panagiotis
Languages: English
Types: Doctoral thesis
Subjects: HG
Energy markets have become increasingly sophisticated, requiring modelling techniques of analogous calibre. This thesis deals with models of changing regime for the petroleum complex. Modelling the conditional distribution of energy prices as a regime switching process is motivated by the market-specific characteristics of oil: different market conditions, such as backwardation and contango, involve different dynamics. The first empirical part examines the very short-end of the futures curve volatility. To address in a realistic way the potential diverse response of oil volatility to fundamentals across high and low volatility regimes, augmented regime volatility models are employed. Results indicate that volatility can be decomposed to a highly persistent conditional volatility process and a relatively short-lived non-stationary process. Apart from evaluating the size of price risk, risk managers must also design a framework for mitigating their exposures. This is the focus of the second empirical part which estimates dynamic hedge ratios. Linking the concept of disequilibrium with that of uncertainty across high and low volatility regimes, a state-dependent error correction model with timevarying second moments is introduced. Finally, the third empirical part, examines the information content of the dependence structure between correlated petroleum futures curves. Term structure is decomposed into level, slope and curvature shocks. Introducing a multiregime framework, these factors are utilised to study inter-commodity and inter-market spreads. Results suggest markedly different state-dependent speeds of mean reversion and volatility/correlation dynamics across regimes. Overall, the employed models provide superior forecasting performance and indicate that state-dependent dynamics may provide significant benefits to market participants. The findings of this thesis have important implications for energy market trading and risk management, as well as energy market operations, such as refining and budget planning, by providing valuable information on the oil price volatility dynamics and the ability to predict risk.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Alexander, C., 2008. Market risk analysis, Practical financial econometrics, vol. 2, John Wiley & Sons.
    • Alexander, C. & Lazar, E., 2006. Normal mixture GARCH(1,1): Applications to exchange rate modelling. Journal of Applied Econometrics, 21 (3), 307-336.
    • Alizadeh, A.H., Kavussanos, M.G. & Menachof, D.A., 2004. Hedging against bunker price fluctuations using petroleum futures contracts: Constant vs. time varying hedge ratios. Applied Economics, 36 (12), 1337-1353.
    • Alizadeh, A.H. & Nomikos, N.K., 2004a. Cost of carry, causality and arbitrage between oil futures and tanker freight markets, Transportation Research Part E: Logistics and Transportation Review, 40 (4), 297-316.
    • Alizadeh, A.H. & Nomikos, N.K., 2004b. A Markov regime switching approach for hedging stock indices. Journal of Futures Markets, 24 (7), 649-674.
    • Alizadeh, A.H., & Nomikos, N.K., 2008. Performance of statistical arbitrage in petroleum futures markets. Journal of Energy Markets, 1 (2), 3-33.
    • Alizadeh, A.H., Nomikos, N.K. & Pouliasis, P.K., 2008. A Markov regime switching approach for hedging energy commodities. Journal of Banking and Finance, 32 (9), 1970-1983.
    • Aloui, C. & Jammazi, R., 2009. The effects of crude oil shocks on stock market shifts behaviour: A regime switching approach. Energy Economics, 31 (5), 789-799.
    • Andersen, T.G & Bollerslev, T., 1998. Answering the sceptics: Yes, standard volatility models do provide accurate forecasts. International Economic Review, 39 (4), 885-905.
    • Ang, A. & Bekaert, G., 2002. International asset allocation with regime shifts. The Review of Financial Studies, 15 (4), 1137-1187.
    • Ang, A. & Bekaert, G., 2004. How regimes affect asset allocation? Financial Analysts Journal, 60 (2), 86-99.
    • Baba, Y., Engle, R.F., Kraft, D. & Kroner, K.F., 1987. Multivariate simultaneous generalized ARCH. Unpublished manuscript, University of California, San Diego.
    • Badescu, A., Kulperger, R. & Lazar, E., 2008. Option valuation with normal mixture GARCH models. Studies in Nonlinear Dynamics & Econometrics, 12 (2), Article 5, 1-40.
    • Bansal, R. & Zhou, H., 2002. Term structure of interest rates with regime shifts. Journal of Finance, 57 (5), 1997-2043.
    • Bao, Y., Lee, T.H. & Saltoglu, B., 2006. Evaluating predictive performance of value-at-risk models in emerging markets: A reality check. Journal of Forecasting, 25 (2), 101-128.
    • Benz, E. & Trück, S., 2009. Modelling the price dynamics of CO2 emission allowances. Energy Economics, 31 (1), 4-15.
    • Bera, A. & Jarque, C., 1980. Efficient tests for normality, heteroscedasticity, and serial dependence of regression residuals. Economic Letters, 6 (3), 255-259.
    • Billio, M., 2010. Dynamic risk exposures in hedge funds. Computational Statistics and Data Analysis, forthcoming.
    • Billio, M. & Pelizzon, L., 2000. Value at risk: A multivariate switching regime approach. Journal of Empirical Finance, 7 (5), 531-554.
    • Billio, M. & Pelizzon, L., 2003. Volatility and shocks spillover before and after EMU in European stock markets. Journal of Multinational Financial Management, 13 (4-5), 323- 340.
    • Black, F. & Scholes, M., 1973. The pricing of options and corporate liabilities. Journal of Political Economy, 81 (3), 637-654.
    • Bollen, N.P.B., Gray, S.F. & Whaley, R.E., 2000. Regime switching in foreign exchange rates: Evidence from currency option prices. Journal of Econometrics, 94 (1-2), 239-276.
    • Bollerslev, T., 1986. Generalized autoregressive conditional heteroscedasticity. Journal of Econometrics, 31 (3), 307-327.
    • Bollerslev, T., Engle, R.F., Nelson, D.B., 1994. ARCH models. In: Engle, R.F. & McFadden, D.L. (Eds.), Handbook of econometrics, vol. 4, 2959-3038. Elsevier Science.
    • Börger, R., Cartea, Á., Kiesel, R. & Shindlmayr, G., 2009. Cross-commodity analysis and applications to risk management. Journal of Futures Markets, 29 (3), 197-217.
    • Borovkova, S., 2006. Detecting market transitions and energy futures risk management using principal components. The European Journal of Finance, 12 (6-7), 495-512.
    • Borovkova, S. & Geman, H., 2006. Seasonal and stochastic effects in commodity forward curves. Review of Derivatives Research, 9 (2), 167-186.
    • Brailsford, T.J. & Faff, R.W., 1996. An evaluation of volatility forecasting techniques. Journal of Banking and Finance, 20 (3), 419-438.
    • Brennan, M. J., 1958. The supply of storage. American Economic Review, 48 (1), 50-72.
    • Brennan, M. J. & Schwartz, E. S., 1985. Evaluating natural resource investments. Journal of Business, 58 (2), 135-157.
    • Buffington, J. & Elliott, R.J., 2002. American options with regime switching. International Journal of Theoretical and Applied Finance, 5 (5), 497-514.
    • Cai, J., 1994. A Markov model of switching regime-ARCH. Journal of Business and Economic Statistics, 12 (3), 309-316.
    • Chan, W.S. & Tong, H., 1986. On estimating thresholds in autoregressive models. Journal of Time Series Analysis, 7 (3), 179-190.
    • Chantziara, Th. & Skiadopoulos, G., 2008. Can the dynamics of the term structure of petroleum futures be forecasted? Evidence from major markets. Energy Economics, 30 (3), 962-985.
    • Chen, K.C., Sears R.S. & Tzang, D., 1987. Oil prices and energy futures. Journal of Futures Markets, 7 (5), 501-518.
    • Chen, S.S. & Chen, H.C., 2007. Oil prices and real exchange rate. Energy Economics, 29 (3), 390-404.
    • Cheong, C.W., 2009. Modeling and forecasting crude oil markets using ARCH-type models. Energy Policy, 37 (6), 2346-2355.
    • Chincarini, L.B., 2007. The Amaranth debacle: A failure of risk measures or a failure of risk management? Journal of Alternative Investments, 10 (3), 91-104.
    • Choi, K. & Hammoudeh, S., 2010. Volatility behaviour of oil, industrial commodity and stock markets in a regime-switching environment. Energy Policy, 38 (8), 4388-4399.
    • Chou, W.L., Denis, K.K.F. & Lee, C.F., 1996. Hedging with the Nikkei index futures: The conventional versus the error correction model. The Quarterly Review of Economics and Finance, 36 (4), 495-505.
    • Choudhry, T., 1997. Short run deviations and volatility in spot and futures stock returns: Evidence from Australia, Hong Kong, and Japan. Journal of Futures Markets, 17 (6), 689- 705.
    • Christoffersen, P., 1998. Evaluating interval forecast. International Economic Review, 39 (4), 841-864.
    • Chung, H., Davig, T. & Leeper, E.M., 2007. Monetary and fiscal policy switching. Journal of Money, Credit and Banking, 39 (4), 809-842.
    • Clarida, R.H., Sarno, L., Taylor, M.P. & Valente, G., 2003. The out-of-sample success of term structure models as exchange rate predictors: A step beyond. Journal of International Economics, 60 (1), 61-83.
    • Clements, M.P. & Krolzig, H.M., 2002. Can oil shocks explain asymmetries in the US Business Cycle? Empirical Economics, 27 (2), 185-204.
    • Clements, M P. & Krolzig, H.M., 2004. Can regime-switching models reproduce the business cycle features of US aggregate consumption, investment and output? International Journal of Finance and Economics, 9 (1), 1-14.
    • Clewlow, L. & Strickland, C., 2000. Energy derivatives: Pricing and risk management. Lacima Publications.
    • Coe, P.J., 2002. Financial crisis and the great depression: A regime switching approach. Journal of Money, Credit and Banking, 34 (1), 76-93.
    • Cologni, A. & Manera, M., 2009.The asymmetric effects of oil shocks on output growth: A Markov-switching analysis for the G-7 countries. Economic Modelling, 26 (1), 1-29.
    • Cortazar, G. & Schwartz, E.S., 1994. The valuation of commodity-contingent claims. Journal of Derivatives, 1 (4), 27-39.
    • Costello, A., Asem, E. & Gardner, E., 2008. Comparison of historically simulated VaR: Evidence from oil prices. Energy Economics, 30 (5), 2154-2166.
    • Cotter, J. & Hanly, J., 2006. Reevaluating hedging performance. Journal of Futures Markets, 26 (7), 677-702.
    • Crowder, W. & Hamed, A., 1993. A cointegration test for oil futures market efficiency. Journal of Futures Markets, 13 (8), 933-941.
    • Culp, C. & Miller, M., 1994. Hedging a flow of commodity deliveries with futures: Lessons from Metallgesellschaft. Derivatives Quarterly, 1 (1), 7-15.
    • Culp, C. & Miller, M., 1995a. Metallgesellschaft and the economics of synthetic storage. Journal of Applied Corporate Finance, 7 (4), 62-76.
    • Culp, C. & Miller, M., 1995b. Hedging in the theory of corporate finance: A reply to our critics. Journal of Applied corporate Finance, 8 (1), 121-127.
    • Dai, Q. & Singleton, K., 2003. Term structure dynamics in theory and reality. The Review of Financial Studies, 16 (3), 641-678.
    • Davies, R.B., 1987. Hypothesis testing when a nuisance parameter is present only under the alternative. Biometrika 74 (1), 33-43.
    • De Santis, R.A., 2003. Crude oil price fluctuation and Saudi Arabia's behaviour. Energy Economics 25 (2), 155-173.
    • Dickey, D. & Fuller, W., 1979. Distribution of the estimates for autoregressive time series with a unit root. Journal of the American Statistical Association, 74 (366), 427-431.
    • Dickey, D. & Fuller, W., 1981. Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49 (4), 1057 - 1072.
    • Diebold, F.X. & Li, C., 2006. Forecasting the term structure of government bond yields. Journal of Econometrics, 130 (2), 337-364.
    • Diebold, F.X. & Mariano, R.S., 1995. Comparing predictive accuracy. Journal of Business & Economic Statistics, 13 (3), 253-263.
    • Diebold, F.X. & Rudebusch, G.D., 1996. Measuring business cycles: A modern perspective. The Review of Economics and Statistics, 78 (1), 67-77.
    • Driesprong, G., Jacobsen, B. & Maat, B., 2008. Striking oil: Another puzzle? Journal of Financial Economics, 89 (2), 307-327.
    • Driffil, J., Kenc, T. & Sola, M. 2009. Real options with priced regime-switching risk. Department of Economics Working Papers 2009-09, Universidad Torcuato Di Tella.
    • Duan, J-C., 1995. The GARCH option pricing model. Mathematical Finance, 5 (1), 13-32.
    • Duan, J-C. & Pliska, S.R., 2004. Option valuation with co-integrated asset prices. Journal of Economic Dynamics and Control, 28 (4), 727-754.
    • Duan, J-C., Popova, I. & Ritchken, P., 2002. Option pricing under regime switching. Quantitative Finance, 2 (2), 1-17.
    • Duan, J-C. & Theriault, A., 2007. Co-integration in crude oil components and the pricing of crack spread options. Working Paper.
    • Dueker, M.J., 1997. Markov switching in GARCH processes and mean reverting stock market volatility. Journal of Business and Economic Statistics, 15 (1), 26-34.
    • Duffie, D., Gray, S.F. and Hoang, P.H., 2004. Volatility in energy prices. In: Kaminski, V. (Eds.), Managing energy price risk: The new challenges and solutions (3rd ed.). Risk Books, 539-571.
    • Dvir, E. & Rogoff, K.S., 2010. The three epochs of oil. Harvard University.
    • Ederington, L.H., 1979. The hedging performance of the new futures markets. Journal of Finance, 34 (1), 157 - 170.
    • Ederington, L.H. & Salas, J., 2008. Minimum variance hedging when spot price changes are partially predictable. Journal of Banking and Finance, 32 (5), 654-663.
    • Edwards, F. & Canter, M. 1995. The collapse of Metallgesellschaft: Unhedgeable risks, poor hedging strategy, or just bad luck? Journal of Futures Markets, 15 (3), 211-264.
    • Elliott, R.J. & Hinz, J., 2002. Portfolio optimization, hidden Markov models, and technical analysis of P&F-charts. International Journal of Theoretical and Applied Finance, 5 (4), 385-399.
    • Elliott, R.J., Siu, T. K. & Chan, L., 2006. Option pricing for GARCH models with Markov switching. International Journal of Theoretical and Applied Finance, 9 (6), 825-841.
    • Engel, C., 1994. Can the Markov switching model forecast exchange rates? Journal of International Economics, 36 (1-2), 151-165.
    • Engle, R.F., 1982. Autoregressive conditional heteroscedasticity with estimates of the variance of the United Kingdom inflation. Econometrica, 50 (4), 987-1007.
    • Engle, RF. & Granger, C.W.J., 1987. Cointegration and error correction: Representation, estimation and testing. Econometrica, 55 (2), 251-276.
    • Engle, R.F. & Kroner, K.F., 1995. Multivariate simultaneous generalized ARCH. Econometric Theory, 11 (1), 122-150.
    • Engle, R.F., Ng, V. & Rothschild, M., 1990. Asset pricing with a factor ARCH covariance structure: Empirical estimates for treasury bills. Journal of Econometrics, 45 (1-2), 213- 237.
    • Ewing, B. & Harter, C., 2000. Co-movements of Alaska North Slope and UK Brent crude oil prices. Applied Economic Letters, 7 (8), 553-558.
    • Fama, E.F., 1965. The behaviour of stock-market prices. Journal of Business, 38 (1), 34-105.
    • Fama, E.F. & French, K.R., 1987. Commodity futures prices: Some evidence on forecast power, premiums and the theory of storage. Journal of Business, 60 (1), 55-73.
    • Fan, Y., Zhang, Y.J., Tsaic, H.T. & Wei, Y.M., 2008. Estimating 'value at risk' of crude oil price and its spillover effect using the GED-GARCH approach. Energy Economics, 30 (6), 3156-3171.
    • Fattouh, B., 2009. Basis variation and the role of inventories: Evidence from the crude oil market. Oxford Institute of Energy Studies, WPM38.
    • Fattouh, B., 2010. The dynamics of crude oil price differentials. Energy Economics, 32 (2), 334- 342.
    • Ferderer, J. P., 1996. Oil Price volatility and the macroeconomy. Journal of Macroeconomics, 18 (1), Winter, 1-26.
    • Fleming, J. & Ostdiek, B, 1999. The impact of energy derivatives on the crude oil market. Energy Economics, 21 (2), 135-167.
    • Fong, W.M. & See, K.H., 2001. Modelling the conditional volatility of commodity index futures as a regime switching process. Journal of Applied Econometrics, 16 (2), 133-163.
    • Fong, W.M. & See, K.H., 2002. A Markov switching model of the conditional volatility of crude oil prices. Energy Economics, 24 (1), 71-95.
    • Fong, W.M. & See, K.H., 2003. Basis variations and regime-shifts in the oil futures market. The European Journal of Finance, 9 (5), 499-513.
    • Franses, P. H. & Paap, R., 1999. Does seasonality influence the dating of business cycle turning points? Journal of Macroeconomics, 21 (1), 79-92.
    • Geman, H. & Nguyen, V.N., 2005. Soybean inventory and forward curves dynamics. Management Science, 51 (7), 1076-1091.
    • Geman, H. & Ohana, S., 2009. Forward curves, scarcity, and price volatility in oil and natural gas markets. Energy Economics, 31 (4), 576-585.
    • Ghosh, A., 1993. Hedging with stock index futures: Estimation and forecasting with error correction model. Journal of Futures Markets, 13 (7), 743-752.
    • Ghysels, E., 1994. On the economics and econometrics of seasonality. In: Sims, C.A. (Eds.), Advances in econometrics, Sixth World Congress, vol. 1, 257-316. Cambridge University Press.
    • Ghysels, E., Granger, C.W.J. & Siklos, P.L., 1996. Is seasonal adjustment a linear or nonlinear data filtering process? Journal of Business and Economic Statistics, 14 (3), 374-386.
    • Giannikis, D., Vrontos, I.D. & Dellaportas, P., 2008. Modelling nonlinearities and heavy tails via threshold normal mixture GARCH Models. Computational Statistics & Data Analysis, 52 (3), 1549-1571.
    • Gibson, R. & Schwartz, E.S., 1990. Stochastic convenience yield and the pricing of oil contingent claims. Journal of Finance, 45 (3), 959-976.
    • Giot, P. & Laurent, S., 2003. Market risk in commodity markets: A VaR approach. Energy Economics, 25 (5), 435-457.
    • Girma, P.B. & Paulson, A.S., 1998. Seasonality in petroleum futures spreads. Journal of Futures Markets, 18 (5), 581-598.
    • Goldfeld, S.M. & Quandt, R.E., 1973. A Markov model for switching regressions. Journal of Econometrics, 1 (1), 3-15.
    • Gonzalez-Rivera, G., Lee, T.H. & Mishra, S., 2004. A reality check based on option pricing, utility function, value-at-risk and predictive likelihood. International Journal of Forecasting, 20 (4), 629-645.
    • Gray, S.F., 1996. Modelling the conditional distribution of interest rates as regime switching process. Journal of Financial Economics, 42 (1), 27-62.
    • Griffin, J.M., 1985. OPEC behaviour: A test of alternative hypotheses. The American Economic Review, 75 (5), 954-963.
    • Guidolin, M. & Timmermann, A., 2007. Asset allocation under multivariate regime switching. Journal of Economic Dynamics and Control, 31 (11), 3503-3544.
    • Guidolin, M. & Timmermann, A., 2008. International asset allocation under regime switching, skew and kurtosis preferences. The Review of Financial Studies, 21 (2), 889-935.
    • Guo, F., Chen, C.R. & Huang, Y.S., 2011. Markets contagion during financial crisis: A regimeswitching approach. International Review of Economics & Finance, 20 (1), 95-109.
    • Gülen, S.G., 1996. Is OPEC a cartel? Evidence from cointegration and causality tests. The Energy Journal, 17 (2), 43-58.
    • Haas, M., Mittnik, S. & Paollela M.S., 2004a. Mixed normal conditional heteroscedasticity. Journal of Financial Econometrics, 2 (2), 211-250.
    • Haas, M., Mittnik, S. & Paollela M.S., 2004b. A new approach to Markov-switching GARCH models. Journal of Financial Econometrics, 2 (4), 493-530.
    • Haigh, M.S. & Holt, M.T., 2002. Crack spread hedging: Accounting for time-varying volatility spillovers in the energy futures markets. Journal of Applied Econometrics, 17 (3), 269-289.
    • Hamilton, J.D., 1989. A new approach to the economic analysis of nonstationary time series and business cycle. Econometrica, 57 (2), 357-384.
    • Hamilton, J.D., 1990. Analysis of time series subject to changes in regime. Journal of Econometrics, 45 (1-2), 39-70.
    • Hamilton, J.D., 1994. Time series analysis. Princeston, NJ: Princeston University Press.
    • Hamilton, J.D., 2003. What is an oil shock? Journal of Econometrics, 113 (2), 363-398.
    • Hamilton, J.D. & Lin, G. 1996. Stock market volatility and the business cycle. Journal of Applied Econometrics, 11 (5), 573-593.
    • Hamilton, J.D., & Susmel, R. 1994. Autoregressive conditional heteroscedasticity and changes in regime. Journal of Econometrics, 64 (1-2), 307-333.
    • Harvey, A.C. & Jaeger, A., 1993. Detrending, stylized facts and the business cycle. Journal of Applied Econometrics, 8 (3), 231-247.
    • Harvey, A.C. & Scott, A., 1994. Seasonality in dynamic regression models. The Economic Journal, 104 (427), 1324-1345.
    • Haushalter, G.D., 2000. Financing policy, basis risk, and corporate hedging: Evidence from oil and gas producers. Journal of Finance, 55 (1), 107-152.
    • Heath, D., Jarrow, R. & Morton, A., 1992. Bond pricing and the term structure of interest rates: A new methodology for contingent claims valuation. Econometrica, 60 (1), 77-105.
    • Holmes, M.J. & Wang, P. 2003. Oil price shocks and the asymmetric adjustment of UK output: A Markov-switching approach. International Review of Applied Economics, 17 (2), 181- 192.
    • Holton, G.A., 2003. Value-at-risk: Theory and practice. Academic Press, Elsevier Science.
    • Hotelling, H., 1931. The Economics of exhaustible resources. Journal of Political Economy, 39 (2), 137-175.
    • Huang, B.N., Yang, C.W. & Hwang M.J., 2009. The dynamics of a nonlinear relationship between crude oil spot and futures prices: A multivariate threshold regression approach. Energy Economics, 31 (1), 91-98.
    • Huang, D., Yu, B., Fabozzi, F.J. & Fukushima, M., 2009. CAViaR-based forecast for oil price risk. Energy Economics, 31 (4), 511-518
    • Hung, J.C., Lee, M.C. & Liu, H.C., 2008. Estimation of value-at-risk for energy commodities via fat-tailed GARCH models. Energy Economics, 30 (3), 1173-1191.
    • Jaeger, A. & Kunst, R.M., 1990. Seasonal adjustment and measuring persistence in output. Journal of Applied Econometrics, 5 (1), 47-58.
    • Jammazi, R. & Aloui, C. 2010. Wavelet decomposition and regime shifts: Assessing the effects of crude oil shocks on stock market returns. Energy Policy, 38 (3), 1415-1435.
    • Johansen, S., 1988. Statistical analysis of cointegrating vectors. Journal of Economic Dynamics and Control, 12 (2-3), 231-254.
    • Johnson, L.L., 1960. The theory of hedging and speculation in commodity futures. The Review of Economic Studies, 27 (3), 139-151.
    • Kaldor, N., 1939. Speculation and economic stability. The Review of Economic Studies, 7 (1), 1-27.
    • Kang, S.H., Kang S.M. & Yoon, S.M., 2009. Forecasting volatility of crude oil markets. Energy Economics, 31 (1), 119-125.
    • Kaufmann, R.K., Bradford, A., Belanger, L.H., Mclaughlin, J.P & Miki Y., 2008. Determinants of OPEC production: Implications for OPEC behaviour. Energy Economics, 30 (2), 333- 351.
    • Kaufmann, R.K., Dees, S., Karadeloglou, P. & Sanchez, M., 2004. Does OPEC matter? An econometric analysis of oil prices. The Energy Journal 25 (4), 67-90.
    • Kaufmann, R.K. & Ullman, B., 2009. Oil prices, speculation and fundamentals: Interpreting causal relations among spot and future prices. Energy Economics, 31 (4), 550-558.
    • Kavussanos, M.G. & Nomikos, N.K., 2000. Hedging in the freight futures markets. Journal of Derivatives, 8 (1), 41-58.
    • Keynes, J.M., 1930. A treatise on Money: The applied theory of money. vol. 2, MacMillan.
    • Kim, C.J., 1994. Dynamic linear models with Markov-switching. Journal of Econometrics, 60 (1-2), 1-22.
    • Kim, C.J. & Nelson, C. R., 1998. Business cycle turning points, a new coincident index, and tests of duration dependence based on a dynamic factor model with regime switching. The Review of Economics and Statistics, 80 (2), 188-201.
    • Klaassen, F., 2002. Improving GARCH volatility forecasts with regime-switching GARCH. Empircal Economics, 27 (2), 363-394.
    • Kleit, A.N., 2001. Are regional oil markets growing closer together? An arbitrage cost approach. The Energy Journal, 22 (2), 1-15.
    • Koenker, R. & Bassett, G., 1978. Regression quantiles. Econometrica, 46 (1), 33-50.
    • Kon, S.J., 1984. Models of stock returns: A comparison. Journal of Finance, 39 (1), 147-165.
    • Krehbiel, T. & Adkins, L.C., 2005. Price risk in the NYMEX energy complex: An extreme value approach. Journal of Futures Markets, 25 (4), 309-337.
    • Krichene, N., 2006. World crude oil markets: Monetary policy and the recent oil shock. International Monetary Fund (IMF) Working Paper No. 06/62.
    • Krolzig, H.M., 1999. Statistical analysis of cointegrated VAR processes with Markovian regime shifts. Unpublished manuscript, Department of Economics, University of Oxford.
    • Kroner, K.F. & Sultan, J., 1993. Time-varying distributions and dynamic hedging with foreign currency futures. Journal of Financial and Quantitative Analysis, 28 (4), 535-551.
    • Kwiatkowski, D., Phillips, P.C.B., Schmidt, P. & Shin , Y., 1992. Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of Econometrics, 54 (1-3), 159-178.
    • Lafuente, J. & Novales, A., 2003. Optimal hedging under departures from the cost-of-carry valuation: Evidence from the Spanish stock index futures market. Journal of Banking & Finance, 27 (6), 1053-1078.
    • Lamoureux, C.G. & Lastrapes, W.D., 1990. Persistence in variance, structural change, and the GARCH model. Journal of Business & Economic Statistics, 8 (2), 225-234.
    • Laurent, S., Rombouts, J. & Violante, F., 2009. On Loss Functions and Ranking Forecasting Performances of Multivariate Volatility Models. Cirano discussion paper, 2009-45.
    • Lee, H.T. & Yoder J.K., 2007a. A bivariate Markov regime switching GARCH approach to estimate time varying minimum variance hedge ratio. Applied Economics, 39 (10), 1253- 1265. .
    • Lee H.T. & Yoder J.K., 2007b. Optimal hedging with a regime-switching time-varying correlation GARCH model. Journal of Futures Markets, 27 (5), 495-516.
    • Lee, K., Ni, Shwan & Ratti, R.A., 1995. Oil shocks and the macroeconomy: The role of price variability. The Energy Journal, 16 (4), 39-56.
    • Lee, T.H., 1994. Spread and volatility in spot and forward exchange rates. Journal of International Money and Finance, 13 (3), 375-383.
    • Lewis, M. & Noel, M. 2010. The speed of gasoline price response in markets with and without Edgeworth cycles. The Review of Economics and Statistics, forthcoming.
    • Li, M.-Y. L, & Lin H.-W.W., 2004. Estimating value-at risk via Markov switching ARCH models: An empirical study on stock index returns. Applied Econometrics Letters, 11 (11), 679-691.
    • Lien, D., 1996. The effect of the cointegration relationship on futures hedging: A note. Journal of Futures Markets, 16 (7), 773-780.
    • Lien, D. & Tse, Y.K., 2002. Some recent developments in futures hedging. Journal of Economic Surveys, 16 (3), 357-396.
    • Lin, B.H. & Yeh, S.K., 2000. On the distribution and conditional heteroscedasticity in Taiwan stock prices. Journal of Multinational Financial Management, 10 (3-4), 367-395.
    • Lin, S.X. & Tamvakis, M.N., 2001. Spillover effects in energy futures markets. Energy Economics, 23 (1), 43-56.
    • Lin, S.X. & Tamvakis, M.N., 2010. OPEC announcements and their effects on crude oil prices. Energy Policy, 38 (2), 1010-1016.
    • Litterman, R. & J. Scheinkman, 1991. Common factors affecting bond returns. Journal of Fixed Income, 1 (1), 54-61.
    • Litzenberger, R. & Rabinowitz, N., 1995. Backwardation on oil futures markets: Theory and empirical evidence. Journal of Finance, 50 (5), 1517-1545.
    • Ljung, M. & Box, G., 1978. On a measure of lack of fit in time series models. Biometrika, 65 (2), 297-303.
    • Lopez, J.A., 1999. Methods for evaluating value-at-risk estimates. Federal Reserve Bank of New York, Economic Policy Review, 2, 3-17.
    • Luginbuhl, R. & de Vos, A., 2003. Seasonality and Markov switching in an unobserved component time series model. Empirical Economics, 28 (2), 365-386.
    • Maheu, J.M. & McCurdy, T.H., 2000. Identifying bull and bear markets in stock returns. Journal of Business and Economic Statistics, 18 (1), 100-112 Mandelbrot, B., 1963. The variation of certain speculative prices. Journal of Business, 36 (4), 394-419.
    • Manoliu, M. & Tompaidis, S., 2002. Energy futures prices: Term structure models with Kalman filter estimation. Applied Mathematical Finance, 9 (1), 21-43.
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