• Australian Residential Housing Market & Hedonic Construction of House Price Indices for Metropolitan 

      Knight, Eva; Cottet, Remy
      Published 2011-02-01
      A Semiparametric spatial model is used as it allows nonlinear estimation of both mean and variance. A Bayesian approach is used for inference via a Markov Chain Monte Carlo sampling scheme. A distinct advantage of using ...
      Open Access
      Working Paper
    • Bayesian Assessment of Dynamic Quantile Forecasts 

      Gerlach, Richard; Chen, Cathy W.S.; Lin, Edward M.H.
      Published 2014-09-10
      Methods for Bayesian testing and assessment of dynamic quantile forecasts are proposed. Specifically, Bayes factor analogues of popular frequentist tests for independence of violations from, and for correct coverage of a ...
      Open Access
      Working Paper
    • Bayesian Forecasting for Financial Risk Management, Pre and Post the Global Financial Crisis 

      Gerlach, Richard; Chen, Cathy W.S.; Lin, Edward M.H.; Lee, Wcw
      Published 2011-03-01
      Value-at-Risk (VaR) forecasting via a computational Bayesian framework is considered. A range of parametric models are compared, including standard, threshold nonlinear and Markov switching GARCH specifications, plus ...
      Open Access
      Working Paper
    • Bayesian Semi-parametric Expected Shortfall Forecasting in Financial Markets 

      Gerlach, Richard; Chen, Cathy W.S.; Lin, Liou-Yan
      Published 2012-01-01
      Bayesian semi-parametric estimation has proven effective for quantile estimation in general and specifically in financial Value at Risk forecasting. Expected short-fall is a competing tail risk measure, involving a conditional ...
      Open Access
      Working Paper
    • Bayesian Tail Risk Forecasting using Realised GARCH 

      Contino, Christian; Gerlach, Richard
      Published 2014-10-10
      A Realised Volatility GARCH model is developed within a Bayesian framework for the purpose of forecasting Value at Risk and Conditional Value at Risk. Student-t and Skewed Student-t return distributions are combined with ...
      Open Access
      Working Paper
    • Bayesian time-varying quantile forecasting for Value-at-Risk in financial markets 

      Gerlach, Richard; Chen, Cathy W.S.; Chan, Nancy Y. C.
      Published 2009-08-01
      Recently, Bayesian solutions to the quantile regression problem, via the likelihood of a Skewed-Laplace distribution, have been proposed. These approaches are extended and applied to a family of dynamic conditional ...
      Open Access
      Working Paper
    • Combinatorics of Option Spreads: The Margining Aspect 

      Matsypura, D.; Timkovsky, V.G.
      Published 2010-07-01
      In December 2005, the U.S. Securities and Exchange Commission approved margin rules for complex option spreads with 5, 6, 7, 8, 9, 10 and 12 legs. Only option spreads with 2, 3 or 4 legs were recognized before. Taking ...
      Open Access
      Working Paper
    • Confidence Levels for CVaR Risk Measures and Minimax Limits* 

      Anderson, Edward; Xu, Huifu; Zhang, Dali
      Published 2014-01-01
      Conditional value at risk (CVaR) has been widely used as a risk measure in finance. When the confidence level of CVaR is set close to 1, the CVaR risk measure approximates the extreme (worst scenario) risk measure. In this ...
      Open Access
      Working Paper
    • Consistent Estimation of Linear Regression Models Using Matched Data 

      Prokhorov, Artem; Hirukawa, Masayuki
      Published 2014-09-05
      Economists often use matched samples, especially when dealing with earnings data where a number of missing observations need to be imputed. In this paper, we demonstrate that the ordinary least squares estimator of the ...
      Open Access
      Working Paper
    • Convergent learning algorithms for potential games with unknown noisy rewards 

      Chapman, Archie C.; Leslie, David S.; Rogers, Alex; Jennings, Nicholas R.
      Published 2011-08-01
      In this paper, we address the problem of convergence to Nash equilibria in games with rewards that are initially unknown and which must be estimated over time from noisy observations. These games arise in many real-world ...
      Open Access
      Working Paper
    • Do External Political Pressures Affect the Renminbi Exchange Rate? 

      Pauwels, Laurent; Liu, Li-Gang
      Published 2011-09-01
      This paper investigates whether external political pressure for faster renminbi (RMB) appreciation affect both the daily returns and the conditional volatility of the RMB central parity rate. We construct several political ...
      Open Access
      Working Paper
    • Does the Box-Cox transformation help in forecasting macroeconomic time series? 

      Proietti, Tommaso; Lütkepohl, Helmut
      Published 2011-10-01
      The paper investigates whether transforming a time series leads to an improvement in forecasting accuracy. The class of transformations that is considered is the Box-Cox power transformation, which applies to series measured ...
      Open Access
      Working Paper
    • Efficient estimation of parameters in marginal in semiparametric multivariate models 

      Panchenko, Valentyn; Prokhorov, Artem
      Published 2016-03-01
      We consider a general multivariate model where univariate marginal distributions are known up to a common parameter vector and we are interested in estimating that vector without assuming anything about the joint distribution, ...
      Open Access
      Working Paper
    • Estimating Value At Risk 

      Lu, Zudi; Huang, Hai; Gerlach, Richard
      Published 2010-01-01
      Significantly driven by JP Morgan's RiskMetrics system with EWMA (exponentially weighted moving average) forecasting technique, value-at-risk (VaR) has turned to be a popular measure of the degree of various risks in ...
      Open Access
      Working Paper
    • Forecast combination for discrete choice models: predicting FOMC monetary policy decisions 

      Pauwels, Laurent; Vasnev, Andrey
      Published 2011-06-01
      This paper provides a methodology for combining forecasts based on several discrete choice models. This is achieved primarily by combining one-step-ahead probability forecast associated with each model. The paper applies ...
      Open Access
      Working Paper
    • Forecasting risk via realized GARCH, incorporating the realized range 

      Richard, Gerlach; Chao, Wang
      Published 2014-11-07
      The realized GARCH framework is extended to incorporate the realized range, and the intra-day range, as potentially more efficient series of information than re- alized variance or daily returns, for the purpose of volatility ...
      Open Access
      Working Paper
    • Margining Option Portfolios by Network Flows 

      Matsypura, D.; Timkovsky, V.G.
      Published 2010-09-01
      As shown in [Rudd and Schroeder, 1982], the problem of margining option portfolios where option spreads with two legs are used for offsetting can be solved in polynomial time by network flow algorithms. However, spreads ...
      Open Access
      Working Paper
    • Matrix Neural Networks 

      Gao, Junbin; Guo, Yi; Wang, Zhiyong
      Published 2016-11-02
      Traditional neural networks assume vectorial inputs as the network is arranged as layers of single line of computing units called neurons. This special structure requires the non-vectorial inputs such as matrices to be ...
      Open Access
      Working Paper
    • Mixed strategies in discriminatory divisible-good auctions 

      Anderson, E.J.; Holmberg, P.; Philpott, A.B.
      Published 2009-11-01
      Using the concept of market-distribution functions, we derive general optimality conditions for discriminatory divisible-good auctions, which are also applicable to Bertrand games and non-linear pricing. We introduce the ...
      Open Access
      Working Paper
    • The Multistep Beveridge-Nelson Decomposition 

      Proietti, Tommaso
      Published 2011-10-01
      The Beveridge-Nelson decomposition defines the trend component in terms of the eventual forecast function, as the value the series would take if it were on its long-run path. The paper introduces the multistep Beveridge-Nelson ...
      Open Access
      Working Paper