2020
DOI: 10.1016/j.finmar.2019.07.002
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Estimating unknown arbitrage costs: Evidence from a 3-regime threshold vector error correction model

Abstract: We present a methodology for estimating a multivariate 3-regime threshold vector error correction model (TVECM) with an unknown cointegrating vector based on a new dynamic grid evaluation. This model is particularly useful for estimating deviations from parity conditions, such as unknown arbitrage costs in markets with a persistent non-zero basis between two similar financial market instruments traded in the spot and derivative markets. Our proposed 3-regime TVECM can estimate the area where arbitrageurs have … Show more

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Cited by 9 publications
(3 citation statements)
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“…Results from the cointegrating tests are used to select from two models; VECM (Ters & Urban, 2020) and VAR model (Caruso et al, 2020), to test for long‐ and short‐run causalities. For models that depict no cointegration, the VAR is used to test for short‐run causalities, for models that existence of cointegrating relationship, the VECM is used to test for both long‐ and short‐run causalities.…”
Section: Methodsmentioning
confidence: 99%
“…Results from the cointegrating tests are used to select from two models; VECM (Ters & Urban, 2020) and VAR model (Caruso et al, 2020), to test for long‐ and short‐run causalities. For models that depict no cointegration, the VAR is used to test for short‐run causalities, for models that existence of cointegrating relationship, the VECM is used to test for both long‐ and short‐run causalities.…”
Section: Methodsmentioning
confidence: 99%
“…It denotes the price deviation from the long-run equilibrium. The estimated error-correction term (ε −1 ) is included in one lag period (Ters and Urban, 2019). Γ is the (2x2) regime-specific matrix of short-run coefficients with lag i.…”
Section: Methodsmentioning
confidence: 99%
“…Statistical techniques and econometric methods were used, incl. the vector error correction model (VECM) [ 21 , 22 , 23 ], structural error correction model (SVECM) [ 24 , 25 ], impulse response function (IRF) [ 26 , 27 , 28 ], Granger causality test [ 29 , 30 ], the Johansen trace test for cointegration [ 31 , 32 , 33 ], tests to examine the normal distribution (Doornik–Hansen test [ 34 , 35 ], Lütkepohl test [ 36 ], and Jarque–Bera test [ 37 , 38 , 39 ]) and the augmented Dickey–Fuller test [ 40 , 41 ] to investigate stationarity. The choice of these methods meets the need to obtain answers to the above research questions and is necessary for the verification process of undesirable properties and the elimination of apparent dependencies in the context of the conducted study.…”
Section: Introductionmentioning
confidence: 99%