2015
DOI: 10.1002/fut.21737
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Forecasting the LIBOR‐Federal Funds Rate Spread During and After the Financial Crisis

Abstract: In this paper, we examine the point and density forecast accuracy of econometric models, surveys and futures rates in predicting the LIBOR‐Federal Funds Rate (LIBOR‐FF) spread during and after the financial crisis. We provide evidence that the futures market forecast outperforms all competing forecasts during and after the financial crisis and that its predictive density is well calibrated. Our results also suggest that the predictive accuracy of the econometric models improves in the post‐crisis period. We ar… Show more

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Cited by 4 publications
(2 citation statements)
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“…With such symbolic statistics, a symbol tree can be formed by graphical representation. The number of branches and layers of symbol tree depends on the size of symbol set n and word length L. As shown in Figure 1, the symbol sequence length and probability of the three-level symbol tree are shown [11][12]. Figure 1 shows a symbol tree with three layers when n = 2.…”
Section: B Symbol Treementioning
confidence: 99%
“…With such symbolic statistics, a symbol tree can be formed by graphical representation. The number of branches and layers of symbol tree depends on the size of symbol set n and word length L. As shown in Figure 1, the symbol sequence length and probability of the three-level symbol tree are shown [11][12]. Figure 1 shows a symbol tree with three layers when n = 2.…”
Section: B Symbol Treementioning
confidence: 99%
“…Therefore, the difference between the 3-Month LIBOR and the Effective Federal Funds Rate (LIBOR-EFF) can also be assessed as a proxy variable instead of the LIBOR-OIS spread [52,53]. Similarly, with the LIBOR-OIS spread, the LIBOR-EFF spread shows the funding liquidity of private interbank funding markets at the global level [54]. In this paper, by considering data non-availability of the LIBOR-OIS spread before December 2001, we employ the LIBOR-EFF spread as another measure to explain the GFCs.…”
Section: Introductionmentioning
confidence: 99%