Items where Subject is "Australian and New Zealand Standard Research Classification > ECONOMICS (140000) > ECONOMETRICS (140300) > Time-Series Analysis (140305)"
|Up a level|
- Subjects classification (46785)
- Australian and New Zealand Standard Research Classification (46785)
Group by: Authors/Creators | Item Type
Number of items at this level: 33.
Bardsen, Gunnar, Becker, Ralf, & Hurn, Aubrey (2004) The Impact of Monetary Policy in the UK on the Relationship between the Term Structure of Interest Rates and Future Inflation. In Becker, R & Hurn, S (Eds.) Contemporary Issues in Economics and Econometrics. Edward Elgar Publishing, Cheltenham, United Kingdom, pp. 147-161.
Becker, Ralf, Clements, Adam, & Hurn, Stan (2011) Semi-parametric forecasting of realized volatility. Studies in Nonlinear Dynamics and Econometrics, 15(3), pp. 1-21.
Becker, Ralf, Enders, Walter, & Hurn, Stan (2006) Modeling inflation and money demand using a Fourier-Series Approximation. In Milas, C, Rothman, P, & van Dijk, D (Eds.) Nonlinear Time Series Analysis of Business Cycles. Elsevier, The Netherlands, Amsterdam, pp. 221-246.
Becker, Ralf & Hurn, Stan (2009) Testing for nonlinearity in mean in the presence of heteroskedasticity. Economic Analysis and Policy, 39(2), pp. 311-326.
Bisaglia, Luisa, Bordignon, Silvano, & Cecchinato, Nedda (2009) Bootstrap approaches for estimation and confidence intervals of long term memory processes. Journal of Statistical Computation and Simulation.
Bu, Di & Liao, Yin (2014) Corporate credit risk prediction under stochastic volatility and jumps. Journal of Economic Dynamics and Control, 47, pp. 263-281.
Christensen, Timothy, Hurn, Stan, & Lindsay, Ken (2012) Forecasting spikes in electricity prices. International Journal of Forecasting, 28(2), pp. 400-411.
Christensen, Timothy, Hurn, Stan, & Lindsay, Ken (2009) It never rains but it pours: Modelling the persistence of spikes in electricity prices. The Energy Journal, 30(1), pp. 25-48.
Christensen, Timothy, Hurn, Stan, & Pagan, Adrian (2011) Detecting common dynamics in transitory components. Journal of Time Series Econometrics, 3(1), pp. 1-26.
Clements, Adam & White, Scott (2005) Non-Linear Filtering With State Dependant Transition Probabilities: A Threshold (Size Effect) SV Model. In Zerger, A & Argent, R (Eds.) MODSIM 2005 International Congress on Modelling and Simulation, 12 December - 15 December 2005, Australia, Victoria, Melbourne.
Higgs, Helen & Worthington, Andrew (2005) Systematic Features Of High Frequency Volatility In Australian Electricity Markets: Intraday Patterns, Information Arrival And Calendar Effects. The Energy Journal, 26(4), pp. 23-41.
Higgs, Helen & Worthington, Andrew (2004) Transmission of Prices and Volatility in the Australian Electricity Spot Markets. In Bunn, D (Ed.) Modelling prices in competitive electricity markets. John Wiley & Sons, Ltd, West Sussex, United Kingdom, pp. 217-229.
Hurn, Aubrey, Jeisman, Joseph, & Lindsay, Kenneth (2007) Seeing the Wood for the Trees: A Critical Evaluation of Methods to Estimate the Parameters of Stochastic Differential Equations. Journal of Financial Econometrics, 5(3), pp. 390-455.
Hurn, Stan, Jeisman, Joseph, & Lindsay, Ken (2006) Some Remarks on the Approximation of Transitional Density in Stochastic Differential Equations. In Dungey, M & Bardsley, P (Eds.) Econometric Society, ESAM06, 4 - 7 July 2006, Australia, Northern Territory, Alice Springs.
Hurn, Stan, Jeisman, Joseph, & Lindsay, Ken (2006) Teaching an Old Dog New Tricks: Improved Estimation of the Parameters of Stochastic Differential Equations by Numerical Solution of the Fokker-Planck Equation. In Dungey, M & Bardsley, P (Eds.) Proceedings of the Australasian Meeting of the Econometric Society 2006, 4-7 July 2006, Australia, Northern Territory, Alice Springs.
Hurn, Stan, Jeisman, Joseph, & Lindsay, Kenneth (2005) ML Estimation Of The Parameters Of SDE's By Numerical Solution Of The Fokker-Planck Equation. In Zerger, A & Argent, R (Eds.) MODSIM 05 - International Congress On Modelling And Simulation Advances And Applications For Management And Decision Making, 12 December - 15 December 2005, Australia, Victoria, Melbourne.
Kamruzzaman, Md., Yigitcanlar, Tan, Washington, Simon, Currie, Graham, & Turrell, Gavin (2014) Australian baby boomers switched to more environment friendly modes of transport during the global financial crisis. International Journal of Environmental Science and Technology, Online.
Kumar, Ronald Ravinesh, Stauvermann, Peter Josef, & Shahzad, Syed Jawad Hussain (2016) Can technology provide a glimmer of hope for economic growth in the midst of chaos? A case of Zimbabwe. Quality & Quantity. (In Press)
Liao, Yin & Stachurski, John (2015) Simulation-based density estimation for time series using covariate data. Journal of Business and Economic Statistics, 33(4), pp. 595-606.
Liu, Shen & Maharaj, Elizabeth Ann (2013) A hypothesis test using bias-adjusted AR estimators for classifying time series in small samples. Computational Statistics & Data Analysis, 60, pp. 32-49.
Liu, Shen, Maharaj, Elizabeth Ann, & Inder, Brett (2014) Polarization of forecast densities : a new approach to time series classification. Computational Statistics & Data Analysis, 70, pp. 345-361.
Pagan, Adrian & Pesaran, M. Hashem (2008) Econometric analysis of stuctural systems with permanent and transitory shocks. Journal of Economic Dynamics and Control, 32(10), pp. 3376-3395.
Perignon, Christophe & Smith, Daniel (2010) The level and quality of Value-at-Risk disclosure by commercial banks. Journal of Banking and Finance, 34(2), pp. 362-377.
Robertson, Calum S., Geva, Shlomo, & Wolff, Rodney C. (2007) Can the Content of Public News be used to Forecast Abnormal Stock Market Behaviour? In Ramakrishnan, Naren, Zaïane, Osmar R., Shi, Yong, Clifton, Christopher W., & Wu, Xindong (Eds.) Seventh IEEE International Conference on Data Mining, 28-31 October, Omaha, Nebraska, United States of America.
Robertson, Calum S., Geva, Shlomo, & Wolff, Rodney C. (2007) News aware volatility forecasting: is the content of news important? In Christen, Peter, Kennedy, Paul, Li, Jiuyong, Kolyshkina, Inna, & Williams, Graham (Eds.) Data mining and analytics 2007 : proceedings of the sixth Australasian Data Mining Conference (AusDM2007), Australian Computer Society in association with the ACM Digital LIbrary, Gold Coast, Queensland, pp. 157-166.
Shahbaz, Muhammad, Kumar, Ronald Ravinesh, Ivanov, Stanislav, & Loganathan, Nanthakumar (2016) The nexus between tourism demand and output per capita with the relative importance of trade openness and financial development: A study of Malaysia. Tourism Economics. (In Press)
Silvennoinen, Annastiina & Terasvirta, Timo (2009) Modeling multivariate autoregressive conditional heteroskedasticity with the double smooth transition conditional correlation GARCH Model. Journal of Financial Econometrics, 7(4), pp. 373-411.
Silvennoinen, Annastiina & Teräsvirta, Timo (2009) Multivariate GARCH models. In Andersen, T.G., Davis, R.A., Kreiß, J-P., & Mikosch, Th. (Eds.) Handbook of Financial Time Series. Springer-Verlag, Germany, Berlin, pp. 201-232.
Strickland, Christopher Mark, Martin, Gael, & Forbes, Catherine (2008) Parameterisation and efficient MCMC estimation of non-Gaussian state space models. Computational Statistics and Data Analysis, 52(6), pp. 2911-2930.
Whitehead, Jake, Franklin, Joel P., & Washington, Simon (2015) Transitioning to energy efficient vehicles: An analysis of the potential rebound effects and subsequent impact upon emissions. Transportation Research Part A: Policy and Practice, 74, pp. 250-267.
Worthington, Andrew C. & Higgs, Helen (2004) Random walks and market efficiency in European equity markets. Global Journal of Finance and Economics, 1(1), pp. 59-78.
Worthington, Andrew C. & Higgs, Helen (2004) Transmission of equity returns and volatility in Asian developed and emerging markets : a multivariate Garch analysis. International Journal of Finance and Economics, 9(1), pp. 71-80.
Worthington, Andrew C. & Valadkhani, Abbas (2004) Measuring the impact of natural disasters on capital markets: An empirical application using intervention analysis. Applied Economics, 36(19), pp. 2177-2186.