Aas, K. and Haff, I. (2006). The Generalized Hyperbolic Skew Student’s t-Distribution. Journal of Finacial Econometrics, 4(2):275–309.
Aguilar, O. and West, M. (2000). Bayesian Dynamic Factor Models and Portfolio Allocation. Journal of Business and Economic Statistics, 18:338–357.
Amisano, G. and Casarin, R. (2007). Particle Filters for Markov-Switching Stochastic Correlation Models. In Proceedings SIS, 2007, Risk and Prediction. CLEUP, Padova.
Asai, M. and McAleer, M. (2005). Dynamic Correlations in Symmetric Multivariate SV Models. In Zerger, A. and Argent, R. M., editors, MODSIM 2005 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zeland.
Asai, M. and McAleer, M. (2009). The Structure of Dynamic Correlations in Multivariate Stochastic Volatility Models. Journal of Econometrics, 150(2):182– 192.
Asai, M., McAleer, M., and Yu, J. (2006). Multivariate Stochastic Volatility: A Review. Econometric Reviews, (2–3):145–175.
- Azzalini, A. and Dalla Valle, A. (1996). The Multivariate Skew-Normal Distribution. Biometrika, 83:715–726.
Paper not yet in RePEc: Add citation now
Bauwens, L. and Laurent, S. (2002). A New Class of Multivariate Skew Densities, with Application to garch Models. Technical report N.2002-20, CORE, University of Lovain.
Bauwens, L., Laurent, S., and Rombouts, J. (2006). Multivariate GARCH Models: A Survey. Journal of Applied Econometrics, 21(1):79–109.
Billio, M. and Caporin, M. (2005). Multivariate Markov Switching Dynamic Conditional Correlation GARCH Representations for Contagion Analysis. Statistical Methods and Applications, 14(2):145–161.
Billio, M. and Caporin, M. (2009). A Generalized Dynamic Conditional Correlation Model for Portfolio Risk Evaluation. Mathematics and Computers in Simulation, 79(8):2566–2578.
Billio, M. and Casarin, R. (2011). Beta Autoregressive Transition MarkovSwitching Models for Business Cycle Analysis. Studies in Nonlinear Dynamics and Econometrics, 15(4):1–30.
Billio, M., Casarin, R., Ravazzolo, F., and van Dijk, H. (2012). Combination Schemes for Turning Point Predictions. Quarterly Reviews of Economics and Finance, 52:402–412.
Billio, M., Monfort, A., and Robert, C. (1999). Bayesian Estimation of Switching ARMA Models. Journal of Econometrics, 93:229–255.
Bollerslev, T. (1987). A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return. Review of Economics and Statistics, 69(3):542–547.
Bollerslev, T. (1990). Modelling the Coherence in Short-Run Nominal Exchange Rates: A Multivariate Generalized ARCH Approach. Review of Economics and Statistics, 72(3):498–505.
Bollerslev, T., Engle, R., and Wooldridge, J. (1988). A Capital Asset Pricing Model with Time Varying Covariances. Journal of Political Economy, 96(1):116–131.
Branco, M. and Dey, D. (2001). A General Class of Multivariate Skew Elliptical Distributions. Journal of Multivariate Analysis, 79:99–113.
Brunnermeier, M., Nagel, S., and Pedersen, L. (2009). Carry Trades and Currency Crashes. NBER Macroeconomics Annual, 23:313–348.
Calvet, L., Fisher, A., and Thompson, S. (2006). Volatility Comovement: A Multifrequency Approach. Journal of Econometrics, 131(1-2):179–215.
Cappiello, L., Engle, R., and Sheppard, K. (2006). Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns. Journal of Financial Econometrics, 4:537–572.
Casarin, R. and Sartore, D. (2007). Matrix-State Particle Filter for Wishart Stochastic Volatility Process. In Proceedings SIS, 2007, Risk and Prediction. CLEUP, Padova.
- Chan, D., Kohn, R., and Kirby, C. (2005). Multivariate Stochastic Volatility with Leverage. Econometric Reviews, 25(2-3):245–274.
Paper not yet in RePEc: Add citation now
Chiang, T., Jeon, B., and Li, H. (2007). Dynamic Correlation Analysis of Financial Contagion: Evidence from Asian Markets. Journal of International Money and Finance, 26(7):1206–1228.
- Chib, S. and Greenberg, E. (1995). Understanding the Metropolis-Hastings Algorithm. The American Statistician, 49:327–335.
Paper not yet in RePEc: Add citation now
Chib, S., Nardari, F., and Shephard, N. (2006). Analysis of High-Dimensional Multivariate Stochastic Volatility Models. Journal of Econometrics, 134(2):341– 371.
Clark, T. E. (2011). Real-Time Density Forecasts From Bayesian Vector Autoregressions With Stochastic Volatility. Journal of Business and Economic Statistics, 29(3):327–341.
Clark, T. E. and Ravazzolo, F. (2012). The Macroeconomic Forecasting Performance of Autoregressive Models with Alternative Speciï¬cations of Time-Varying Volatility. Working Paper N. 12-18, Federal Reserve Bank of Cleveland.
Corsetti, G., Pericoli, M., and Sbracia, M. (2001). Correlation Analysis of Financial Contagion: What One Should Know Before Running a Test. Technical report, Temi di discussione N. 408, Banca d’Italia.
Corsetti, G., Pericoli, M., and Sbracia, M. (2005). Some Contagion, some Interdependence: More Pitfalls in Tests of Financial Contagion. Journal of International Money and Finance, 24(8):1177 – 1199.
- Corsetti, G., Pericoli, M., and Sbracia, M. (2011). Financial Contagion: The Viral Threat to the Wealth of Nations, chapter Correlation Analysis of Financial Contagion, pages 11–20. John Wiley & Sons.
Paper not yet in RePEc: Add citation now
Creal, D., Koopman, S. J., and Lucas, A. (2011). A Dynamic Heavy-Tailed Model for Time-Varying Volatilities and Correlation. Journal of Business and Economic Statistics, 29(4):552–563.
Dueker, M. and Neely, C. J. (2007). Can Markov Switching Models Predict Excess Foreign Exchange Returns? Journal of Banking and Finance, 31(2):279–296.
Dungey, M., Fry, R., and Martin, V. (2004). Currency Market Contagion in the Asia-Paciï¬c Region. Australian Economic Papers, 43(4):379–395.
Engle, R. (2002). Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models. Journal of Business and Economic Statistics, 20(3):339–350.
- Engle, R. F. and Kroner, K. F. (1995). Multivariate Simultaneous Generlaized ARCH. Econometric Theory, 11(1):122–150.
Paper not yet in RePEc: Add citation now
Ferreira, J. and Steel, M. (2007). Bayesian Multivariate Regression Analysis with a New Class of Skewed Distributions. Statistica Sinica, 17:505–529.
Forbes, K. and Rigobon, R. (2002). No Contagion, Only Interdependence: Measuring Stock Market Co-Movements. Journal of Finance, 57(5):2223–2261.
- Fruhwirth-Schnatter, S. (2006). Mixture and Markov-swithing Models. SpringerVerlag, New York.
Paper not yet in RePEc: Add citation now
Galeano, P. and Ausın, M. C. (2010). The Gaussian Mixture Dynamic Conditional Correlation Model: Parameter Estimation, Value at Risk Calculation, and Pportfolio Selection. Journal of Business and Economic Statistics, 28(4):559–571.
- Geweke, J. (1992). Evaluating the Accuracy of Sampling-Based Approaches to the Calculation of Posterior Moments. In Bernardo, J. M., Berger, J. O., Dawid, A. P., and Smith, A. F. M., editors, Bayesian Statistics 4, pages 169–193. Oxford University Press, Oxford.
Paper not yet in RePEc: Add citation now
Gourieroux, C., Jasiak, J., and Sufana, R. (2004). The Wishart Autoregressive Process of Multivariate Stochastic Volatility. Working Paper, CREST.
Harvey, A., Ruiz, E., and Shephard, N. (1994). Multivariate Stochastic Variance Models. Review of Economic Studies, 61:247–264.
Horen, N., Jager, H., and Klaassen, F. (2006). Foreign Exchange Market Contagion in the Asian Crisis: A Regression Based Approach. Review of World Economics, 142(2):374–401.
Hui, C., Genberg, H., and Chung, T. (2009). Liquidity, Risk Appetite and Exchange Rate Movements During the Financial Crisis of 2007-2009. Hong Kong Monetary Authority, Working Paper 11/2009.
Jacquier, E., Polson, N., and Rossi, P. (1994). Bayesian Analysis of Stochastic Volatility Models. Journal of Business and Economic Statistics, 12:281–300.
Jacquier, E., Polson, N., and Rossi, P. (2004). Bayesian Analysis of Stochastic Volatility Models with Fat-Tails and Correlated Errors. Journal of Econometrics, 122:185–212.
Kim, S., Shephard, N., and Chib, S. (1998). Stochastic Volatility: Likelihood Inference and Comparison with Arach Models. Review of Economic Studies, 65:361–394.
- Kraft, D. and Engle, R. (1982). Autoregressive Conditional Heteroscedasticity in Multiple Time Series. Mimeo, Dept.of Economics, University of California, San Diego.
Paper not yet in RePEc: Add citation now
- Krolzig, H.-M. (1997). Markov Switching Vector Autoregressions. Modelling, Statistical Inference and Application to Business Cycle Analysis. Springer-Verlag, Berlin.
Paper not yet in RePEc: Add citation now
- Lenk, P. J. and DeSarbo, W. S. (2000). Bayesian Inference for Finite Mixtures of Generalized Linear Models with Random Effects. Psycometrika, 65:93–119.
Paper not yet in RePEc: Add citation now
Liesenfeld, R. and Richard, J. (2003). Univariate and Multivariate Stochastic Volatility Models: Estimation and Diagnostics. Journal of Empirical Finance, 10:505–531.
Loddo, A., Ni, S., and Sun, D. (2011). Selection of Multivariate Stochastic Volatility Models via Bayesian Stochastic Search. Journal of Business and Economic Statistics, 29(3):342–355.
Lucas, R. (1976). Econometric Policy Evaluation: A Critique. In Lucas, R., editor, Studies in Business-Cycle Theory. MIT Press, Cambridge (MA).
Mimeo, University of California, Santa Cruz, November. Pelletier, D. (2006). Regime Switching for Dynamic Correlations. Journal of Econometrics, 131:445–473.
Mosconi, R. and Seri, R. (2006). Non Causality in Bivariate Binary Time Series. Journal of Econometrics, 132:379–407.
- Nirei, M. and Sushko, V. (2010). Speculative Dynamics and Currency Crash Risk.
Paper not yet in RePEc: Add citation now
Perez-Rodrıguez, J. (2006). The Euro and Other Major Currencies Floating Against the U.S. Dollar. Atlantic Economic Journal, 34(4):367–384.
Philipov, A. and Glickman, M. (2006). Multivariate Stochatic Volatility via Wishart Processes. Journal of Economics and Business Statistics, 24:313–328.
- Robert, C. P. (2001). The Bayesian Choice, 2nd ed. Springer-Verlag, New York.
Paper not yet in RePEc: Add citation now
- Sahu, S., Dey, D., and Branco, D. (2003). A New Class of Multivariate Skew Distributions with Applications to Bayesian Regression Models. Canadian Journal of Statistics, 31:129–150.
Paper not yet in RePEc: Add citation now
Silvennoinen, A. and Terasvirta, T. (2008). Multivariate GARCH Models. In Andersen, T., Davis, R., Kreiss, J.-P., and Mikosch, T., editors, Handbook of Financial Time Series. Springer-Verlag, New York.
So, M. and Choi, C. (2008). A Multivariate Threshold Stochastic Volatility Model. Mathematics and Computers in Simulation, 79:306–317.
So, M. P., Lam, K., and Li, W. (1998). A Stochastic Volatility Model with Markov Switching. Journal of Business and Economic Statistics, 18:429–446.
So, M., Li, W., and Lam, K. (2002). A Threshold Stochastic Volatility Model. Journal of Forecasting, 21:473–500.
Tai, S. (2007). Market Integration and Contagion: Evidence from Asian Emerging Stock and Foreign Exchange Markets. Emerging Markets Review, 8(4):264–283.
- Tanner, M. (1993). Tools for Statistical Inference (Lecture Notes in Statistics 67). Springer-Verlag, New York.
Paper not yet in RePEc: Add citation now
- Tanner, M. and Wong, W. (1987). The Calculation of Posterior Distributions by Data Augmentation. Journal of the American Statistical Association, 82:528–550.
Paper not yet in RePEc: Add citation now
- Taylor, S. (1986). Modelling Financial Time Series. Chichester, Wiley.
Paper not yet in RePEc: Add citation now
- Taylor, S. (1994). Modelling Stochastic Volatility. Mathematical Finance, 4:183–204.
Paper not yet in RePEc: Add citation now
Van Bergeijk, P. and Berk, J. (2001). European Monetary Union, the Term Structure, and the Lucas Critique. Kyklos, (4):547–556.
Wilfling, B. (2009). Volatility Regime-Switching in European Exchange Rates Prior to Monetary Uniï¬cation. Journal of International Money and Finance, 3(2):240–270.
Yu, J. and Meyer, R. (2006). Multivariate Stochastic Volatility Models: Bayesian Estimation and Model Comparison. Econometric Reviews, (2-3):361–384.