Market efficiency hypothesis suggests a zero level for the intra-day interest rate. However, a liquidity crises introduces frictions related to news, which can cause an upward jump of the intra- day rate. This paper documents that these dynamics can be partially predicted during turbulent times. A long memory approach outperforms in term of point and density forecasting random walk and autoregressive benchmarks. The gains are particular high when the full distribution is predicted and probabilistic assessments of future movements of interest rate derived by the model can be used as a policy tools for central bank to plan supplementary market operations during turbulent times. Adding exogenous variables to proxy funding liquidity and counterpart risks does not improve forecast accuracy and the predictability seems to derive from the econometric properties of the series more than from economic news available in real-time to the market.
|Numero di pagine||25|
|Stato di pubblicazione||Pubblicato - 2011|