Filtering of a Discrete-Time HMM-Driven Multivariate Ornstein-Uhlenbeck Model With Application to Forecasting Market Liquidity Regimes.

IEEE Journal of Selected Topics in Signal Processing(2016)

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摘要
This paper investigates the modeling of risk due to market and funding liquidity by capturing the joint dynamics of three time series: the treasury-Eurodollar spread, the VIX, and a metric derived from the S&P 500 spread. We propose a two-regime mean-reverting model for explaining the behaviour of three time series, which mirror liquidity levels for financial markets. An expectation-maximisation a...
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Hidden Markov models,Numerical models,Biological system modeling,Predictive models,Data models,Economics,Forecasting
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