Correlation Analysis of Financial Contagion: What One Should Know Before Running a Test



A Appendix

This appendix derives the expression (2) of the coefficient of interdependence φ
in the general case. From the data generating process of ri, the unconditional
variance of the idiosyncratic shock ε7 can be written as:

Var(εi) = Var(ri) — 7? ■ Var(f)

By the definition of λj and the data generating process of rj∙, we can also get:

Var(f ) =


Var (rj)
(1 + >)


Therefore, we find:

Var(εi )

7i Var(f)


Var(ri)   1 = 7 (1 + ʌ,^)Var(r)

(A∙1)


7? ■ Var(f)            7jVar(rj)

For convenience, we rewrite the expression of the correlation coefficient induced
by the process (1):

_             1

p [1 + ⅛⅛⅛Γ'2-11 + >


(A.2)


Substituting (A.1) into (A.2), we obtain the unconditional correlation coefficient
as a function of the rates of return, the factor loadings and λj■:


7i


1   7 V ar (ri ) A 1A

1 + λ3 Var(rjУ


(A∙3)


We now turn to the crisis period. From the data generating process of the
rate of return of the stock market in country
i, the variance of r during the
crisis is:


Var(ri I C) = 72 ■ Var(f C) + Var(εi)


(A.4)


Note that by the data generating process (1) and by the definition of λj and
ʌɑ, it follows that:


Var(rj i c) = 1 + δ = 1 + ʌɑ Var(f i c)

Var(r1)              1 + λj Var(f )


(A.5)


By solving (A.5) for Var(f C) and substituting the resulting expression into
(A.4) we get:

Var(ri I C) = Var(ri) + ψ72Var(f)


where ψ is defined as in follows


^(1 + ʌj) + Q > )
1 + >7


21




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