The theoretical motivation Directory UMM :Data Elmu:jurnal:M:Multinational Financial Management:

3. The theoretical motivation

We know that the first-order condition of any consumer-investor’s optimization problem can be written as: E[M t R i,t V t − 1 ] = 1, Ö i = 1 ······N 1 where M t is known as a stochastic discount factor or an intertemporal marginal rate of substitution; R i,t is the gross return of asset i at time t and V t − 1 is market information known at time t − 1. Without specifying the form of M t , Eq. 1 has little empirical content since it is easy to find some random variable M t for which the equation holds. Thus, it is the specific form of M t implied by an asset pricing model that gives Eq. 1 further empirical content Ferson, 1995. Since this paper focuses on the pricing of market, interest rate and exchange rate risks on the commercial bank stock returns, it assumes that M t and R i,t have the following factor representations: M t = a + b W F W,t + b INT F INT,t + b FX F FX,t + u t 2 r i,t = a i + b iW F W,t + b iINT F INT,t + b iFX F FX,t + o i,t Ö i = 1 ······ N 3 where r i,t = R i,t − R 0,t is the raw returns of asset i in excess of the risk-free rate, R 0,t , at time t, E[u t F k,t V t − 1 ] = E[u t V t − 1 ] = E[o i,t F k,t V t − 1 ] = E[o i,t V t − 1 ] = 0Öi.k,F k,t k = W, INT, FX are three common risk factors world market, interest rate, and exchange rate which capture systematic risk affecting all assets r i,t including M t , b ik k = W, INT, FX are the associated time-invariant factor loadings which measure the sensitivities of the asset to the three common factors, while u t is an innovation and o i,t ’s are idiosyncratic terms which reflect unsystematic risk. 2 The risk-free rate, R 0,t − 1 , must also satisfy Eq. 1 E[M t R 0,t − 1 V t − 1 ] = 1 4 Subtract Eq. 4 from Eq. 1, we obtain E[M t r i,t V t − 1 ] = 0 Ö i = 1 ······ N 5 Apply the definition of covariance to Eq. 5, obtaining: E[r i,t V t − 1 ] = Co6r i,t , − M t V t − 1 E[M t V t − 1 ] Ö i = 1 ······ N 6 Substitute Eq. 2 into Eq. 6: E[r i,t V t − 1 ] = k − b k E[M t V t − 1 ] Co6r i,t ,F k,t V t − 1 = k d k,t − 1 Co6r i,t ,F k,t V t − 1 Ö k = W, INT, FX 7 2 The empirical studies of Ferson and Harvey 1993 and Ferson and Korajczyk 1995 consistently show that movements in factor exposuresbetas account for only a small fraction of the predictable change in expected returns, in both the domestic and the international context. Thus, to simplify the model, a time-invariant factor beta seems to be reasonable. where d k,t − 1 is the time-varying price of factor risk. Eq. 7 is the conditional three-factor asset pricing model derived from the intertemporal consumption-investment optimization problem which will be esti- mated and tested via pricing kernel approach in Section 6. Alternatively the conditional three-factor asset pricing model can also be derived based on arbitrage arguments, such as Arbitrage Pricing Theory APT by Ross 1976. Substituting the factor model Eq. 3 into the right hand side of Eq. 6 and assuming that Co6o i,t ; M t + 1 = 0 implies E[r i,t V t − 1 ] = k b ik Co6F k,t − M t V t − 1 E[M t V t − 1 ] n = k b ik l k,t − 1 Ö k = W, INT, FX 8 where l k,t − 1 is the time-varying risk premium per unit of beta risk. Assuming F k,t = E[F k,t V t − 1 ] + o k,t , where o k,t is the factor innovation with E[o k,t V t − 1 ] = 0, and E[o k,t o j,t V t − 1 ] Ö k j, then Eq. 3 can be rewritten as: r i,t = a i + k b ik E[F k,t V t − 1 ] + k b ik o k,t + o i,t Ö i = 1 ······ N; Ök = W, INT, FX 9 Taking conditional expectation on both sides of Eq. 9 and compare it with Eq. 8, then under the null hypothesis of a i = 0 obtaining: E[F k,t V t − 1 ] = l k,t − 1 Ö k = W, INT, FX 10 Substituting Eq. 10 into Eq. 9, and assuming a i = 0, Eq. 9 becomes r i,t = k b ik l k,t − 1 + o k,t + o i,t Ö i = 1 ······N; Ök = W, INT, FX 11 Eq. 11 is the conditional three-factor asset pricing model based on the arbitrage arguments which will be estimated and tested using MGRACH-M methodology in Section 6. To compare with previous studies in testing an unconditional multi-factor model, the unconditional version of Eq. 11 where expected factor risk premia, l k,t − 1 ’s are restricted to be time invariant will also be estimated and tested in Section 6.

4. Econometric methodologies