Cointegration and detectable linear and nonlinear causality: analysis using the London Metal Exchange lead contract

References

• Akaike , H . 1974 . A new look at the statistical model identification . IEEE Transactions on Automatic Control , 19 : 716 – 23 .
   Web of Science ®Google Scholar
• Baek , E and Brock , W . 1992 . A nonparameteric test for independence of a multivanate time series . Statislica Sinica , 2 : 137 – 56 .
   Web of Science ®Google Scholar
• Bessembinder , H , Coughenour , JF , Seguin , PJ and Smoller , MM . 1995 . Mean reversion in equilibrium asset prices: evidence from the futures term structure . Journal of Finance , 50 : 361 – 75 .
   Web of Science ®Google Scholar
• Brennan , MJ . 1958 . The supply of storage . American Economic Review , XLVIII : 50 – 72 .
   Google Scholar
• Brenner , RJ and Kroner , FK . 1995 . Arbitrage, cointegration, and testing the unbiasedness hypothesis in financial markets . Journal of Financial and Quantitative Analysis , 30 : 23 – 42 .
   Web of Science ®Google Scholar
• Brock D Hsieh D LeBaron B 1991 A Test of Nonlinear Dynamics, Chaos, and Instability: Statistical Theory and Economic Evidence, MIT Press Cambridge MA
   Google Scholar
• Chowdhury , AR . 1991 . Futures market efficiency: evidence from cointegration tests . Journal of Futures Markets , 11 : 577 – 89 .
   Web of Science ®Google Scholar
• Cooper , R . 1993 . Risk premia in the futures and futures markets . Journal of Futures Markets , 13 : 357 – 71 .
   Google Scholar
• Crowder , WJ and Hamed , A . 1993 . A cointegration test for oil futures market efficiency . Journal of Futures Markets , 13 : 933 – 41 .
   Web of Science ®Google Scholar
• Engle , RF and Granger , CWJ . 1987 . Cointegration, and error correction: representation, estimation and testing . Econometrica , 55 : 251 – 76 .
   Web of Science ®Google Scholar
• Franses , PH and Kofman , P . 1991 . An empirical test for parities between metal prices at the LME . Journal of Futures Markets , 11 : 729 – 36 .
   Web of Science ®Google Scholar
• Gibson , R and Schwartz , ES . 1990 . Stochastic convenience yield and the pricing of oil contingent claims . Journal of Finance , 45 : 959 – 76 .
   Web of Science ®Google Scholar
• Goss , BA . 1981 . The futures pricing function of the London Metal Exchange . Applied Economics , 13 : 133 – 50 .
   Web of Science ®Google Scholar
• Goss , BA . 1983 . The semi–strong form efficiency of the London Metal Exchange . Applied Economics , 15 : 681 – 98 .
   Web of Science ®Google Scholar
• Granger , C . 1969 . Investigating causal relations by econometric models and cross–spectral methods . Econometrica , 37 : 424 – 38 .
   Web of Science ®Google Scholar
• Granger C 1989 Forecasting in Business and Economics 2nd edn Academic Press San Diego
   Google Scholar
• Hall , AD , Anderson , HM and Granger , CWJ . 1992 . Cointegration analysis of treasury bill yields . Review of Economics and Statistics , 74 : 116 – 26 .
   Web of Science ®Google Scholar
• Heaney , R . 2002 . Does knowledge of the cost of carry model improve commodity futures price forecasting ability?: a case study using the London Metal Exchange lead contract . International Journal of Forecasting , 18 : 45 – 65 .
   Google Scholar
• Heinkel , R , Howe , EM and Hughes , JS . 1990 . Commodity convenience yields as an option profit . Journal of Futures Markets , 10 : 519 – 33 .
   Web of Science ®Google Scholar
• Hiemstra C Jones JD 1993 Some information relating to the finite sample properties of the modified Baek and Brock nonlinear Granger causality test, Working Paper University of Strathclyde and Securities and Exchange Commission
   Google Scholar
• Hiemstra , C and Jones , JD . 1994 . Testing for linear and nonlinear Granger causality in the stock price–volume relation . Journal of Finance , 49 : 1639 – 64 .
   Web of Science ®Google Scholar
• Hinich , M and Patterson , U . 1985 . Evidence of nonlinearity in stock returns . Journal of Business and Economics , 3 : 69 – 77 .
   Web of Science ®Google Scholar
• Hsieh , D . 1991 . Chaos and nonlinearity dynamics: application to financial market . Journal of Finance , 46 : 1839 – 77 .
   Web of Science ®Google Scholar
• Hsieh , DA and Kulatilaka , N . 1982 . Rational expectations and risk premia in futures markets: primary metals at the London Metal Exchange . Journal of Finance , 37 : 1199 – 207 .
   Web of Science ®Google Scholar
• Johansen , S . 1988 . Statistical analysis of cointegration vectors . Journal of Economic and Dynamics and Control , 12 : 231 – 54 .
   Web of Science ®Google Scholar
• Johansen , S and Juselius , K . 1990 . Maximum likelihood estimation and inference on cointegration with application to the demand for money . Oxford Bulletin of Economics and Statistics , 52 : 169 – 209 .
   Web of Science ®Google Scholar
• Krehbiel , T and Adkins , LC . 1993 . Cointegration tests of the unbiased expectations hypothesis in metals markets . Journal of Futures Markets , 13 : 753 – 63 .
   Web of Science ®Google Scholar
• MacDonald , R and Murphy , PD . 1989 . Testing for the long run relationship between nominal interest rates and inflation using cointegration techniques . Applied Economics , 21 : 439 – 47 .
   Web of Science ®Google Scholar
• MacDonald , R and Taylor , MP . 1988a . Testing rational expectations and efficiency in the London Metal Exchange . Oxford Bulletin of Economics and Statistics , 50 : 41 – 52 .
   Web of Science ®Google Scholar
• MacDonald , R and Taylor , MP . 1988b . Metals prices, efficiency and cointegration: some evidence from the London Metal Exchange . Bulletin of Economic Research , 40 : 235 – 9 .
   Google Scholar
• MacDonald , R and Taylor , MP . 1989 . Rational expectations, risk and efficiency in the London Metal Exchange: an empirical analysis . Applied Economics , 21 : 143 – 53 .
   Web of Science ®Google Scholar
• Milonas , NT and Thomadakis , SB . 1997a . Convenience yields as call options: an empirical analysis . Journal of Futures Markets , 17 : 1 – 15 .
   Web of Science ®Google Scholar
• Milonas , NT and Thomadakis , SB . 1997b . Convenience yield and the option to liquidate for commodities with a crop cycle . European Review of Agricultural Economics , 24 : 267 – 83 .
   Web of Science ®Google Scholar
• Moore MJ 1994 Testing for unbiasedness in futures markets The Manchester School Supplement 67 78
   Google Scholar
• Moore , MJ and Cullen , U . 1995 . Speculative efficiency on the London Metal Exchange . The Manchester School , 63 : 236
   Google Scholar
• Scheinkman , J and LeBaron , B . 1989 . Nonlinear dynamics and stock returns . Journal of Business , 62 : 311 – 37 .
   Web of Science ®Google Scholar
• Schwartz , ES . 1997 . The behaviour of commodity prices: implications for valuation and hedging . Journal of Finance , 52 : 923 – 73 .
   Web of Science ®Google Scholar
• Sephton , PS and Cochrane , DK . 1990 . A note on the efficiency of the London Metal Exchange . Economic Letters , 33 : 341 – 45 .
   Web of Science ®Google Scholar
• Sephton , PS and Cochrane , DK . 1991 . The efficiency of the London Metal Exchange: another look at the evidence . Applied Economics , 23 : 669 – 74 .
   Web of Science ®Google Scholar
• Shea , GS . 1992 . Benchmarking the expectations hypothesis of the interest rate term structure: an analysis of cointegration vectors . Journal of Business and Economics Statistics , 10 : 347 – 66 .
   Web of Science ®Google Scholar
• Weymar , FH . 1966 . The supply of storage revisited . American Economic Review , 56 : 1226 – 34 .
   Web of Science ®Google Scholar
• Working , H . 1949 . The theory of the price of storage . American Economic Review , 34 : 1254 – 62 .
   Google Scholar
• Wright , BD and Williams , JC . 1989 . A theory of negative prices for storage . Journal of Futures Markets , 9 : 1 – 13 .
   Web of Science ®Google Scholar