Can we explain the dynamics of the UK FTSE 100 stock and stock index futures markets?

If stock and stock index futures markets are functioning properly price movements in these markets should best be described by a first order vector error correction model with the error correction term being the price differential between the two markets (the basis). Recent evidence suggests that there are more dynamics present than should be in effectively functioning markets. Using self-exciting threshold autoregressive (SETAR) models, this study analyses whether such dynamics can be related to different regimes within which the basis can fluctuate in a predictable manner without triggering arbitrage. These findings reveal that the basis shows strong evidence of autoregressive behaviour when its value is between the two thresholds but that the extra dynamics disappear once the basis moves above the upper threshold and their persistence is reduced, although not eradicated, once the basis moves below the lower threshold. This suggests that once nonlinearity associated with transactions costs is accounted for, stock and stock index futures markets function more effectively than is suggested by linear models of the pricing relationship.

[1]  Peter R. Locke,et al.  Index arbitrage and nonlinear dynamics between the S&P 500 futures and cash , 1996 .

[2]  Ian Garrett,et al.  To What Extent Did Stock Index Futures Contribute to the October 1987 Stock Market Crash , 1993 .

[3]  Merton H. Miller,et al.  Mean Reversion of Standard & Poor's 500 Index Basis Changes: Arbitrage‐induced or Statistical Illusion? , 1994 .

[4]  One Market? Stocks, Futures, and Options During October 1987 , 1992 .

[5]  T. Rao,et al.  A TEST FOR LINEARITY OF STATIONARY TIME SERIES , 1980 .

[6]  Hans R. Stoll,et al.  The Dynamics of Stock Index and Stock Index Futures Returns , 1990, Journal of Financial and Quantitative Analysis.

[7]  A. Mackinlay,et al.  Index-Futures Arbitrage and the Behavior of Stock Index Futures Prices , 1988 .

[8]  H. Tong,et al.  Threshold Autoregression, Limit Cycles and Cyclical Data , 1980 .

[9]  Hung Man Tong,et al.  Threshold models in non-linear time series analysis. Lecture notes in statistics, No.21 , 1983 .

[10]  L. Harris The October 1987 S&P 500 Stock‐Futures Basis , 1989 .

[11]  Krishna Paudyal,et al.  THRESHOLD AUTOREGRESSIVE MODELING IN FINANCE: THE PRICE DIFFERENCES OF EQUIVALENT ASSETS , 1994 .

[12]  C. Granger Investigating causal relations by econometric models and cross-spectral methods , 1969 .

[13]  C. Sims Money, Income, and Causality , 1972 .

[14]  Horst Kräger,et al.  Non-linearities in foreign exchange markets: a different perspective , 1991 .

[15]  Kalok Chan,et al.  A Further Analysis of the Lead–Lag Relationship Between the Cash Market and Stock Index Futures Market , 1992 .