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NTEREST RATE DERIVATIVES, RISK EXPOSURE AND PERFORMANCE - 政大學術集成

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(1)

6 7 8 9 :  < = > ? @ A B C D E F G H

劉憓諠

I J K L M N O P Q R N S T U V W X Y Z M N  \ ] ^ _ ` \ N S a b c

W X    K L M N W ! " # S $ % &

:

' ( ) * + , - . / 0 1 2 3 4 . 5 6 7 8

JEL

9 : ; <

:

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ˆ ‰ Š ‹ Œ  Ž   ‘ ’ “ ” „ • –

,

— ˜ Ž  ™ ‹ š › — Œ  œ  „ ž Ÿ   ¡ ¢ £ ¤ ¥ ¦ § ¨

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Ž – © ª « ¬ ­ ® ¯ °

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± ² Š ‹ Œ  • –  ‘ ³ ´ µ ¶ · ˜ Ž  ™ ‹ š › ¸ ¹ „ º »

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¼ ½ ¾ Œ  „ œ  ¸ ¹

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¿ À —  ‘ ³ ´ µ ¶ „ • – Á ž   ¥  à Ä

:

Å Æ Ç È

,

Á • – É • – Ê Ë Ì Ž   ‘ ’ “ ” „ Š ‹ Œ 

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Í Á Ê Ë Î „ Ž  ™ ‹ š › — œ    ¡ ¢ Ï Ð Ñ Ò Ó ’ Ô Õ

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1.

  

 0   !  0 5 6 " # $

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%   & ' ( ) * + " , +

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,

& ' : ) :  0   " + 9 < = *

,

> ? @ . A B * 6 7 C # $ + 9 " D A E F é

mis-matching of asset and liability

durations

ô " / 0

,

G H ) + 9 I J é

duration gap

ô " K L B *

,

M ' ( N O P

,

Q R 6 7 S # $ T U V W D X Y

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> ? B * ' ( / 0 Z @ \ 4 ]

,

M ' ( ^ _ P

,

# $ > ` + 9 a * " b c

,

% T U V d " e f

,

g h i 6 7 T U V d " e f Z j k

,

Q R l 1 6 7 # $ m n ) o p q

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1 ` r s t u v w x y z { | } ~  € 

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‚ ƒ „ … † ‡ ˆ ‰ Š ‹ Œ  Ž   y | ‘ ’ “ ” u • – — Š – ˜ y ™ š › œ  ž Ÿ  

,

s t u v y z { | } ¡ ¢

,

w x £  ¤ ¥ y | ‘ ’ “

,

¦ § ¨ … s t © ª « ¬ ­ ¥ y ® ¯ …     é

Hoyt, 1989

ô  

1

  ¨ … s t    š

2000

 

2009

 y ® ¯ …     y  

,

2 / 0 ˆ 1 2  ¨ … s t ® ¯ …     Ÿ 3 4   5 5 ¨ … s t y u v w x 6 7 r

,

8 9 : ! < = > ? ® ¯ …   y @ A é

Bohnert et al., 2015

ô

,

B C D E  F y ® ¯ …    

,

¨ … s t › G H I y J K 6 L

,

M N ® I O ‰ • P Q R S T U ® ¯ …  H I O ‰ • P Q R y I V ­ W

,

X Y

: (1)

Z ' ’ \ ] S ¡  ^ _

; (2)

` a ¦ b c ® ¯ ƒ d H e ’ ^ _ u v f z y …

; (3)

g h u v y i j z {

,

k l u v w x m n € o y

… é

Hoyt, 1989

ô 

Guay

é

1999

ô Š

Guay and Kothari

é

2003

ô £ ˆ 1 O ‰ • P Q

R R  p q } r Š ¥ r s t “

,

‡ u v  S

,

O ‰ • P Q R r B ¨ … s t w x I S T U ® ¯ …     y y z ` … Q R é

Cummins et al., 1997

ô

,

Raturi

é

2004

ô { | L } ~ ˜

:

¨ … 1 N H I 2 W ` … “ O ‰ • P Q R y 3 1 6 L  1 r s : (1)t u v w x y z { | } ~ ½ ¾ | ¿ À Á  à { Ä ; (2)Å Æ } ~ Ç ½ ¾ È y É Ê Ë Ì Í Î Ï ,Ð Å Ñ Ò m | Ó Ô Õ Ö ,Ó × s Ø Ù o Ú Û | Ü Ý Þ ß | Ø u à á ; (3)â ã ä å æ ç è é , ê ë ì í î ï | Ü Ý Þ ß ,ð Û ñ ò ó ; (4)ä å ô õ p ä ö ÷ é ,ø ù ú û Ã Ü Ý Þ ß | Ó Ô Õ Ö , ü ý ì í } ~ ½ ¾ | î þ Á  ] 2

í   4 p Flannery and Jamesé 1984ô 5 Bali et al.é 2007ô Ã 6 ß õ 7 8 9 : ; < = ,β1i> ! õ 7 8 9 : ; < = " # $ ,% & f ' ( ) * z +   , ' " - . ]

(4)



1

‚ ƒ „ … † ‡ ˆ ‰ Š ‹ † Œ  Ž  é

2000

 ‘

2009

 ô

’ ’ “ ” •

,

2 0 – — ˜ ) * ™ š › ( " l 1

,

) œ  " — ž Z  0 5 6 Ÿ

  ¡ ¢ Q ” • 2 0 £ n ¤ g é

National Association of Insurance Commissioners,

NAIC

ô o ¥ ž ) ¦ § ) * ™ š › ( l 1 — ¨ © é

Derivative Instruments Model

Regulation

ô ª 4 «

,

¬ “ l 1 ) * ™ š › ( ª ­

,

Ÿ   ® ¯ ° X ± ¦ R ) * ™ š › ( " § l 1 ² ³ ´ © 3µ ¶ · U ¸ ¹

,

º » E ¼ ½ ¾ J › B 6  ¨ … s t < ¿ À s t y ® ¯ …    

,

Œ › œ « Á y  U r é

agency costs

ô ” Ã Ä Å ¸ é

financial distress

ô ” Æ Ç r Œ È u | É   Ê Ë

,

Ì Í O ‰ • P Q R y H I S | 3 … T Î  5 5

Hirtle

é

1997

ô G Ï 3 1 B  Á Ð

,

ˆ 1 H I O ‰ • P Q R y Ï 3 Î Ñ s t

,

<  Ò ¤ ¥ y …     

Yong et al.

é

2009

ô ~ ˜ Ï 3 H I ¤ W O ‰ • P Q R ™

,

< Ó ‚ Ô   y ® ¯ …    Õ Ö

, Venkatachalam

é

1996

ô × ˆ 1 O ‰ • P Q R y H I

,

< Ø p …     

Tufano

é

1996

ô ”

Guay

é

1999

ô Š

Singh

é

2009

ô £ Ù Ú ˆ 1

:

O ‰ • P Q R y H I Š …     6

š

,

R  w Û y ¹ Ü  | Ý

, Hentschel and Kothari

é

2001

ô”

Koski and Pontiff

é

1999

ô

Š

Simons

é

1995

ô  

,

× ˆ 1 s t …   y   Š O ‰ • P Q R y H I N |

3

Þ ß à | á â ã ä :å p æ ç Ý è ~ Ð | é ê 5 w þ ë ì å p } ~ ½ ¾ í î Ã ï 9 | Þ ð ì ñ ò å p æ ç Ý è ~ Ð | ó ô 5 å p õ ö ñ ò ÷ ø ù ú | Î Ï û ï ü ý þ ]

(5)

R   y ¹ Ü  Í G ƒ y   › 

,

  ¹ H I O ‰ • P Q R  ® ¯

…     6 š y ¹ Ü

,

º | L  

5 5 

,

À

Modigliani and Miller

é

1976

ô ˜ Z u / 8 ¹  \

,



 b c   y   b c 

,

H I O ‰ • P Q R Š s t   8 ¹  Õ Ö

,

 Ù

b c º | 

,

Ý  Ù Ú  ˆ 1 H I ` … “ O ‰ • P Q R › G Ø p à Ä

Å ¸ ˆ ‰ ”  U r Œ ` a È u | É 6  U     Ê Ë

,

G d s t  

é

Smith and Stulz, 1985; Allayannis and Weston, 2001; Aretz and Bartram, 2010;

Bartram et al., 2011

ô    Ý  Ù Ú 

,

ˆ 1 O ‰ • P Q R Á      |

L  y = > / 0 

Smith and Stulz

é

1985

ô

; Allayannis and Weston

é

2001

ô

; Aretz

and Bartram

é

2010

ô

; Bartram et al.

é

2011

ô   O ‰ • P Q R Š s t   6 

Û = > ¹ Ü

,

M ¨ … s t  † ` … ! y O ‰ • P Q R œ k l ® ¯ " # Ô v

‰ y …

,

s t    Á $ %  Õ Ö

,

×   ˆ 1 O ‰ • P Q R y H I

… T U ƒ º 8 & ' = >  0 é

Jin and Jorion, 2006

ô

,

£ | < = > s t z {

é

Jorion, 1991

ô

,

(  8  H I ) * + , y O ‰ • P Q R

,

- | < . / s t r s é

Nelson et al., 2005

ô  Õ Ö

,

O ‰ • P Q R y H I º 0 | I r

,

s t B | 3 … T Î Ô Ó ‚ y ` … r

,

N ‹ œ Y ¡  g h s t y    

,

Á ¨ … s t S 1

,

2 N L 3 4 Ê Ë  5 5 À 5 6 y Ã Ä U 

,

… Š   ~  ¹ Ü

;

¿ À O ‰ “ 7 8  ¹  

,

O ‰ “ 7 8 y H I < 9 ™ = > … Š  

,

¦ § : : ® I

2000

 

2009

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,

= / > , é

structural equations

ô

,

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J é

two-stage least square

ô K

,

| 3 C D E F  : : ˆ 1

:

 H I G H I Ò ¤ W

® ¯ O ‰ “ 7 8 y ¨ … s t

,

<  Ò ¤ ¥ y ® ¯ …   Š   

5 5  ? H I J K L Y M

:

N O J P Q O ‰ • P Q R Š s t … Œ  

6  ¹  

,

N R J 1 S T I y  ” U V J K Œ  ¹ / W

,

N X J B Ù Ú

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2.

 _ ` a b

2.1

c d e f g h i j

k l i m n o " p q r s

,

t u 5 6 v 0 O w ª x y > z

,

{ y | }

:

5 6

— ~ . ~  € w  5 6 D ‚ ƒ „ … Z

Mayers and Smith

é

1982

ô .

Smith and Stulz

é

1985

ô .

Nance et al.

é

1993

ô † ‡

:

ˆ — ~ 5 6 B * ~  € w " w (

,

‰ Š — ~ 5 6 4 ‹ Œ

,

> ? ˆ 5 6 — v / 0 "  Ž ‰ Š 5 6 y 4 ‹ 

,

o / ˆ 5 6  ˜ g ‰ a ) ‘ > ’ “ v 0 ” • Z – —

,

˜ / — ~ ™ š " › f 4 œ

, Geczy et

al.

é

1997

ô † ‡ 5 6  ˜ v 0 ž Ÿ " Œ  

,

¡ 5 6 ¢ ž ! £ v 0 S v 0 ¤ f " { y > z ª X Z Q R 5 6 ’ “ / 0 m n ¥ y  M " 6 ™

,

/ ¦ § ¨ ©  ª « ¬ ­

,

Š 5 6 ‰ ˆ 5 6 ) A ® # ¯ / 0 m n " ž Ÿ

,

> ? Š 5 6 " v 0 O w ° a ˆ — ~ 5 6 ± ² ³ Z

’ ’ ´ –

Nance et al.

é

1993

ô S

Geczy et al.

é

1997

ô " µ ¶ r s

,

· « ¸ ¹ 5 6

v 0 S % ~  € w 9 " ¦ ¡ ¬ D ¸ º

,

-

Smith and Stulz

é

1985

ô 

Tufano

é

1996

ô

" µ ¶ p q »

,

¼ B ½ 5 6 ’ “ v 0 ” •

,

. / W ¾ ~  € w B * " w (

,

¬ _   ~  € w B * o V d " § ¿ 7 ž Ÿ © é

bankruptcy cost

ô é

Warner, 1977

ô Z – —

,

À Á S 5 6 ™ n ¬ ` 5 6  D à " ' Ä Å Æ é

stakeholders

ô

,

Ç R ™ n ¬ È ' É ] é

entrenchment hypothesis

ô

,

™ n ¬ Ê Ë > ` È Ì " ' Ä

,

Í Î ) ' " 5 6 ² ³

,

/ _   / 0 1 2 " w g

;

Ï ª

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À Á « ‰ a Ð Ñ • Œ / 0 " 5 6 Z Q R Ò Ó ' Ä " Ô Õ

,

™ n ¬ " ¢ Ö . A g × Ø À Á ' Ä

,

Ù — V d 5 6 " Ú n ž Ÿ

,

Û ž 5 6 D ‚ é

underinvestment

ô " ƒ „

,

5 6 Ü ˜ A ’ “ v 0

,

. / W ¾ Ú n ž Ÿ

,

Ù — Ý C 5 6 5 6 D ‚ " ƒ „ Z ’ ’ Þ ß

, Tufano

é

1996

ô " µ ¶ B ½

:

~  à á S v 0 O w â ã ä å ¸ º " ¦ ¡ Z > ` 6 Ÿ æ ç è “ Œ f 6 é D ˜ ê é

asymmetric information

ô " K L

,

5 6 ` v ë > ` 6 ™ ì í — Ÿ   ä 6 Ÿ æ ç š 6

,

— ¥ y î ‡ ‰ a Œ " ž Ÿ

,

5 6 . / ï Q v 0 4 _   š 6 ž Ÿ Z

Berkman and Bradbury

é

1996

ô { ð à á

¤ f ñ Œ " 5 6

,

B * ~  € w " w ( a Œ

,

% l 1 ) * ™ š › ( 4 v 0 " O w « ò ² Z ) * ™ š › ( " l 1 D ó A _   ô õ ß ö 6 ™ " ž Ÿ

,

G g Ã

(7)

P _   5 6 ˜ ß ö š 6 " ÷ ø + Z ù % M 5 6 ¢ ž @ $

,

5 6 o  ˜ " S à á  ¦ " ž Ÿ é

leverage related cost

ô 4< Ó ‚

,

Y

:

x ( ) < * + , - 

. ’  ¹ / 0 1 2 3 4 4 ¥  ª   y ® ¯

,

Ó ‚ s t y 5 x r

,

§ ™

s t › œ Ì Í H I O ‰ • P Q R

,

S k l ¦ B ¥ Ã Ä Æ Ç Ô 6 S y … r

é

Allayannis and Weston, 2001; Bessembinder, 1991; Froot et al., 1993; Mayers and

Smith, 1982; Smith and Stulz, 1985

ô 

2.2

c 7 8 9 :  < = > ? h @ e A B C D = E F

´ – ) * + ™ š › ( S / 0 1 2 3 4 "  ¦ p q

,

) % x y +

,

-  ¦ p q ¼ D  G Z k l i m ) p n o " p q r s

,

) * ™ š › ( " l 1 S / 0 1 2 3 4 9 " ¦ ¡

,

¬ D X H Z

Hentschel and Kothari

é

2001

ô S

Koski and Pontiff

é

1999

ô B ½

:

l 1 ) * ™ š › ( ˜ 5 6 / 0 1 2 3 4

,

¬ D g 7 * t u Z ´

– I ?

,

 J µ ¶ p q B ½

:

l 1 ) * ™ š › ( S / 0 1 2 3 4 ) # ä ¦ ¡

é

Tufano, 1996; Venkatachalam, 1996; Guay, 1999

ô Z

Singh

é

2009

ô , K L ˜ ) *

™ š › ( " l 1 S ' ( / 0 1 2 3 4 ª 9 " ¦ ¡ Ù M N O

,

B ½

:

) * ™ š › ( " l 1 g _   5 6 ' ( / 0 1 2 3 4 Z ’ ’ Q R 2 0 5 6 l 1 ) * + ™ š , -

,

{ y ¡ > ` v 0 P "

,

> ? X Q 5 6 " ' ( / 0 1 2  

,

. A ! ' 1 ' ( ) * + ™ š , - 4 v 0 " r s

,

> ? ' ( ) * + " ™ š , - " l 1

,

S % ' ( / 0 1 2 " ¤ f

,

. A â ½ Ï ä ¦ ¡ Z – —

,

 0 5 6 ` V d % Ÿ R " S 2 ' T

,

g V d o U 2 " 2 0 R  V

,

? @ @ g ¯ Œ ' ( / 0 " 1 2

,

- ` l ' ( / 0 W q “ 5 6 . / U X " ¨ Y ª Â

,

2 0 5 6 . A @ ‹ g l 1 ‰ a  " ' ( ) * + , - Z I ? X 4

,

Z  @ g \ ] ^

:

' ( ) * + , - " l 1 S ' ( / 0 " 1 2

,

â ½ ã ä ¦ ¡ Z

Hirtle

é

1997

ô / ” • _ M R ` p q ˜ `

,

B ½ _ M W À 5 6 a i ) * ™ š › ( l 1 g V d / 0 1 2 3 4 Z

Yong et al.

é

2009

ô B ½ _ M l 1 ) * + ™ š , - b

,

g ) a Œ " ' ( / 0 1 2 3 4 Z c F d e O f

,

Z  ˜ R ' ( / 0 1 2 S ' ( ) * + ™ š , - " l 1 " ¦ ¡

,

¬ : ) , ž Ó ä " g + Z 4 ú û ü d ñ í : Ì ñ ò ý m þ  ú û ! ù | ñ í ,ã ä þ  " { ñ í ì # î ñ í Ç ½ ¾ ñ í ,$ þ  " { ñ í % & ' ~ ñ í ,( ñ ò ' ~ ) * + , è | - . / ì ø Þ . / 5 í î 0 1 2 î ' ~ 3  | ) 4 ñ í þ ;# î ñ í ! ¾ 5 0 ! 6 7 8 ñ ò " 4 | # î 9 : ,; < = Õ ó ô > ç $ Î Ï ñ ò ÷ ! 7 ! ù | ñ í ," # ñ í $ ø % & ú û ' | ! ù $ ý m ]

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2.3

c 7 8 9 :  < = > ? h h i j k = E F “ n o »

,

) * ™ š › ( " l 1 S 5 6 7 8 " ¦ ¡ l D X H Z m ®

,

) * + , - " l 1

,

¥ y 5 6 ¦ §  ¦ " ° Ë ¨ © S n o

,

ª « p R ¬ q 4 ’ “ ° Ë

,

r s t ¥ y ž Ÿ Z 2 0 5 6  / v 0 ` P "

,

q ’ “ ) * + ™ š , - ° Ë

,

v 0 " ž Ÿ & ' D ˆ

,

, K ! “ 6 Ÿ æ ç u O v ³ " P w Z x Æ — y

,

5 6 l 1 ) * + ™ š , -

,

Ÿ   z 3 { Š " ž Ÿ Z j k

,

Ü ˜ l 1 D M

,

± . A ˜ 5 6 ~  Û ž x Š #  t u

,

> ?

,

) * ™ š › ( " l 1

,

. A ˜ 7 8 7 * #  " t u Z ’ ’ – —

,

) * ™ š › ( " l 1 ˜ 5 6 " 7 8

,

l ) . A g 7 * 㠝 " t u Z

k l Ú n ž Ÿ n f é

agency costs theory

ô

,

2 0 5 6 2 | S À Á ª 9 g ) ' Ä

Ô Õ é

conflicts of interest

ô

,

> ` 2 | o } ~ " ! “ 2 0 “ c B * P

,

A ~  € 5 2 P "  ž

,

‹ ^ ° ) " n  Z ‚ “ 2 | " ƒ ç

,

¬ D } ~ 2 0 5 6 ’ “ i f „ 0

,

… † . A €  ‡ ˆ A ® " 5 6

,

> ` U ¯ / 0 / ô õ ± Œ " ' T

,

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,

2 | ¬ D g ‹ ^ 5 6 ’ “ Œ / 0 5 6 o ‹ ^ " / 0  3 é

risk premium

ô

,

> ? 2 | D g Ž ž 5 6 ’ “ / 0 i Œ " 5 6

,

H l r s 5 6 . A   5 6 ‘ ’ " “ ” Z I ? X 4

,

@ g Û ž o • " 5 6 D ‚ " ƒ „ é

underinvestment problem

ô

,

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,

2 0 5 6 “ ’ “ Œ / 0 " 5 6 ² ³ P

,

. / ' 1 ) * + ™ š , - 4 v 0

,

Š 2 | Í ˜ Z Q R Œ / 0 " 5 6 ™ & ' š › º Œ “ ”

,

> ?

,

) * + ™ š , - " l 1 S 7 8

,

l . A â ½ ã ä ¦ ¡ Z i m µ ¶ " p q

,

l t œ

 ã ä ¦ ¡ Z \ I

: Graham and Rogers

é

2002

ô 

Guay and Kothari

é

2003

ô l †

‡ 5 6 l 1 ) * + ™ š , -

,

. / V d 5 6 T U Z

Froot et al.

é

1993

ô S

Nguyen

and Faff

é

2003

ô B ½ 5 6 l 1 ) * + ™ š , -

,

4 _   ~  ž Ÿ B * " w (

,

/   ž 5 6 7 8 3 4 Z

Carter et al.

é

2006

ô l B ½

:

l 1 ) * ™ š › ( g ã ä

å ¸ º t u 5 6 7 8 Z ? ß

,

5 6 l 1 ) * ™ š › ( b

,

. / d ² 5 6 " @

$ A ® é

Graham and Rogers, 2002

ô

;

— 5 6 V d @ $

,

. / ¯ Œ ¡ ¢ 8 s

,

l .

£ ¡ o ‹ W ¾

,

¯ Œ ¡ b ¤ '

,

Ù — 5 6 7 8 g > ? ¯ Œ Z Ç R d e " O f

,

Z  g +

:

) * + ™ š , - " l 1 S 7 8 ž 㠉 Z

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3.

 ¥ ¦ § ¨

3.1

c © ª « ¬

Ÿ p q o ¥ ­ 5 6 ) * + " l 1 K L S ~  6 ®

,

{ y 4 È d æ 5 6 ä ” •

¶ ¯ m n ° ­ g ± “ é

The US Securities and Exchange Commission Filings

ô ² ³

^ ª

Edgar

é

electronic data gathering

ô "

10–K

“ ´ .

Compustat

S 5 6 µ ¶ 5 ·

" ~  “ ´

;

À T " 6 ® « 4 È

CRSP

6 ® ¸ Z ’ ’ ´ – ” • 2 0 £ n ¤ g

,

È

1992

¶ ¹

,

· º y »  0 5 6 “ µ ¼  ¶ ½ o ¾ “ ª ¦ R ) * ™ š › ( l 1 " “ ´ é

Schedule DB

ô

,

5 ¿ N : :  

,

º   H I À r Á

,

? Â 4 Ã ¦ Ü

:

: : y U V Ä 4 Ñ z u <

,

Ö y ¨ … s t W G • Î 3 Å Æ s t y J Ç ƒ b

,

¦ § Y 0 9 ™ H I ¨ … È s t y O ‰ “ 7 8 y H I Š • Î y Ñ z u < S | 3 

,

? É | 9 y Ê Ë é

level

ô

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,

? Ñ z | œ    Á „ … È s t y Á 1

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¦ § º | F Ð  5 5  G | B Ñ Ò Ó u < | 3 Ù Ú

,

G ƒ b ¨ … s t B  Á Ð

,

¹  Ô Õ Œ s t  ¹ u < Ö h Á

1

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,

Á

1

6

Panel A

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@ Ô 

,

® I Ù  v 1 U + Ú é

standard industrial classification, SIC

ô 6 ¨ … 1

X Û W Â Ú é

four-digit code of 6311

ô

Compustat

Ü Ý 

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45

à ¨ …

s t

;

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â ã

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37

à ¨ … s t

,

?  s å ƒ b s t 

26

à ” 0 s å ˆ 3 Ñ æ  / s t 

6

à

,

? H

5

à B  ~ „ … s t

,

ç

288

è é ê {  5 5 ë

,

¹ ® ¯ …     y Ñ

,

s t Ñ z r s B F  y  4 u <

,

¿ 0 ƒ b Œ  ~ „ … s t N   & '  ¹ Ñ z r s y W À

,

‡  G â ã

,

 G

26

à s å ƒ b s t B  Á Ð

,

   

221

     

,

  5 ì ü í ` î ï ð ` é Partsô , Part A:ñ ; Å ò ó 5 ì õ 7 # ó ì õ 7 ô ó 5 ä 9 þ õ ò ó 5 ; Part B:ñ ; Å ò ó 5 ì õ 7 # ó ì õ 7 ô ó ì ä 9 þ õ ò ó 5 ; Part C:ñ ; Å õ 7 ö ÷ Ä ç ì õ 7 ø ù 5 ú þ > ç ; Part D:ñ ; Å þ õ > ç 5 ä 9 þ õ > ç ; Part E:ñ ; Å æ ç Ö û ü " ý × ö þ ]

(10)

1

    Panel A:              45 ! " # $ 1.! " # $ % & ' ( ) * +   , , - 3a 2.! " # . / 0 1 2 3   1b 3.! " 4 5 # 6 , + 7 8   , 1c 4.9 : ? $ , - < = & $ % # > ? @  75% 3d A       37 Panel B:B C D E F G H I J K L M N O P C Q R S 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 D T U V D E 6 5 8 11 11 13 14 15 15 14 2009G W Q X Y Z _ é \ ] L ^ _ ` a b ô c d e f g h i j Y k Q G l m n a Panel C:o p B C U V D E q r e Aegon N. V. 428,112f January 2004 26

Allstate Life Insurance Company of New York 3,503 January 2000

American Equity Investment Life Holding Company 21,312 January 2000

American National Insurance Company 20,150 January 2001

China Life Insurance Company Ltd. ADS 8,375,948 January 2007

Citizens Financial Corporation 147 January 2000

Citizens, Inc. 927 January 2000

FBL Financial Group, Inc. 14,259 January 2000

Genworth Financial, Inc. 108,187 January 2003

Hartford Financial Services Group, Inc. 307,717 January 2000

ING Group N. V. ADS 1,163,643 January 2000

Investors Heritage Capital Corporation 419 January 2004

Kansas City Life Insurance Company 4,176 January 2000

Lincoln National Corporation 177,433 January 2000

Manulife Financial Corporation 195,821 January 2000

MetLife, Inc. 539,314 January 2003

National Western Life Insurance Company 7,519 January 2002

(11)

1

    é v ô 2009w x # A y z { é |  } ~ ƒ „ … † ô ‡ ˆ ‰ Š '  ‹ Œ y  # w Ž   … Panel C:‘ ’   “ ”   • – e

Phoenix Companies, Inc. 24,582 January 2000

Presidential Life Corporation 3,765 January 2000

Principal Financial Group Inc. 137,759 January 2001

Protective Life Corporation 42,312 January 2000

Prudential Financial, Inc. 480,203 January 2000

Prudential PLC ADS 227,754 January 2000

Sun Life Financial Inc. 66,900 January 2006

Torchmark Corporation 16,024 January 2000

UTG, Inc. 431,519 January 2002

— : 1. Aegon N. V.; ING Group N. V. ADS; Prudential PLC ADS˜ ™   š › œ “ # y 

 ž Ÿ   ¡ „ é EURO dollarô ( … ¢ † £ ; Manulife Financial Corporation; Symetra

Financial Corporationž Ÿ   ¤ ¥ é CAD dollarô ( … £ , ‹ Œ ¦ § w ¨ › œ y  

© ª « ¬ # w x ­ ® : ¯ ° ­ |  } … † ±

2. a. American International Group, Delphi Financial Group Corporate, Yadkin Valley

Financial Corporation$  % # ! " & ' ž 8 * +   # , - ² ³ ; b. Canada Life

Financial Corporationž ¤ ´ µ   ,¶ 3 2003w 7Ž 10· ¸ The Great-West Life

Assurance Company¹ º ; c. Berkeley Technology Ltd.-ADRž »  ¼ y ½ ¾   ,

§   , - ž ¿  À   ,Á  : Berkeley International Capital Corporationé BICCô

and Berkeley VC LLCé BVCô ( : ¯ »  ¼ y Ã Ä Å ¼ y Æ Ç ,  # ! " ½ È ž

É Ê   Ë  Ì Í Î   ,3 2010w 1Ž §   # $  , - Ï Ð Ñ = Ò Ó ¸ Ô Õ ; d. Ö × Shiué 2011ô |     # 9 : ? $ , - < = & $ % # > Ø ( Ù Ú ž Û Ü ? $    ,ˆ Ý > Ø @  75%Þ ß | à " , ‹ Œ à " Annuity & Life Reé Holdingsô

Ltd., Scottish Re Group Ltd., Reinsurance Group America Inc. á    ; e.  ‹ Œ

Ó â #  㠓 ”   ,ä " ž 3 2000–2009w å ’ 3   ” æ “  ã ç ¯ #   Þ

8 è ,é : Manulife Financial Corporation,š ¶ +     ,ê ë 3 2003w ì ¿  |

í ° í & º î ï } ð ñ - ’ ò   é John Hancockô ,ó Ü ô  ‡ õ µ #   ö ÷ ; f.

Aegon N. V.3 2007–2009w ø å ,  # 9 : ? $ , - < = & $ % # > ? @  75%,

(12)

112

           

; 109

    67 8

,

 Á

1

6

Panel B

y / 0 ˆ 1

,



2003

 å 9 : S : W y ¨ … s t H I O ‰ • P Q R S ` …

;

7

Panel C

@  Ô  ¨ … ƒ b s t y u <  5 5 : : B ‘ „ Ã Ä u < y  ‘ “

,

ƒ A ä B à ¨ … s t y s å à r u <

,

® I Š H I O ‰ • P Q R  ¹ 6 ¹ C D

,

r Á  y E F ” O ‰ • P Q R H I y   Œ E G 

,

L à à H I º ‘ J H I O ‰ • P Q R y K + Œ H I @ A  5 5 Í 

2

› 

,

¨ … s t O ‰ • P Q R y H I Ò ¯ Œ @ A

,



2000



2.09%

é

US$ 4,006 million

ô

,

 Ó ‚ E

2009



14.43%

é

US$ 27,723 million

ô  | L }

Š Á

1

6

Panel B

B  H I O ‰ • P Q R H I L  S Ò ¤

,

2000

 E

2001

 6 š

,

H I O ‰ • P Q R y s t W M Õ / l

,

¿ N H I O N Ó ‚

,

Á 

2001

 P

5

à ¨ … s t å 9 Ó ‚ O ‰ • P Q R y H I

;



2001

 ¾

,

Q R S R W y s t H I O ‰ • P Q R

, 2001–2003

  š H I S Ó

; 2004

 E

2005



,

T Ó ‚

2

à ¨ … s t H I O ‰ • P Q R

,

H I  j Ó ‚

;

U E

2005



,

 ~ „ … s t £ å 9 H I ® ¯ O ‰ • P Q R

; 2007–2008

 N ¨ … s t H I 2 W ` … “ O ‰ • P Q R y  š

; 2008

 O ‰ • P Q R y H I { N ¥ D

31,286

é

US$ million

ô

,

¿ V W é

2009

ô 

,

O ‰ • P Q R y H I X Ø E u

2006

 y  

,

¦ B  { • P Y Z ™ 

,

  2 : • P ¸ -  \ k  Š Ë +  ¹ y • P Q R

,

£ ¦ § ` r O ‰ • P Q R y H I L    ] A y . / 

3.2

c © ª ^ _ k l ` ³ " ~  n f

,

/ 0 S 7 8 a ) ¦ ¡ Z j k

,

÷ l ) * + , -  ¦ n o

,

) * + , - " l 1 g à P t u / 0 S 7 8

,

> ? Z  ¦ ƒ r b ~ c

,

' 1 d e f g ˆ ¨ Ó –

,

h i  0 5 6 l 1 ) * ™ š › ( ˜ % ' ( / 0 1 2 3 4 " t u

,

¬ j k 5 6 " 7 8 3 4

,

! £ S ) * ™ š › ( " l 1 ) ¦ Z 6 " Æ # 9 # y ñ ò $   þ 4 á ,% & È d ' ( ) * Õ " x ! ñ ; ñ ò þ  " # " $ , % & $ Edgar| 10–Kü í 5 ñ ò ' ü # Å x ! å p æ ç Ö û ü Ñ ü | } ( ] í   )   þ 4 á Å # y ñ ò * ù + í   } (  ,> å Ü $ , ô y ,- . & $   þ 4 á / # y | 0 k # 9 ñ ò 1 ã 2 $ á ,ï 3 ¿ 4 g 5 6 é survivorship biasô | 9 : ] 7 0 k # 9 ñ ò å p å p æ ç Ö Ý è û ü ,ù ú # ! & ý × [ | < ï 9 ,- í 5 = > | æ ç Ö Ý è û ü } ( ,? / " ï 9 ! [ | ]

(13)

4,006 4,214 10,657 17,475 17,835 25,415 27,863 28,596 31,286 27,723 2.09 2.19 5.55 9.1 9.29 13.23 14.51 14.89 16.34 14.43 0 2 4 6 8 10 12 14 16 18 0 5,000 10,000 15,000 20,000 25,000 30,000 35,000 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

%

(US$ million) 

2

‚

2000–2009

 … † ‡ ˆ l m n † o p q r s t u v w Š x y z

IRRE

i,t

= f1(IRD

i,t

, CV1

,i,t−1

) + e1

,i,t

,

(1)

RAR

i,t

= f2(IRD

i,t

, CV2

,i,t−1

) + e2

,i,t

.

(2)

% »

, IRD

` ' ( ) * + , - l 1 { J

,

j K / § ! £ l 1 ' ( ) * + , - © S § ' ( ) * + , - l 1 V © 4 | V

; IRRE

` ' ( / 0 1 2

, RAR

` ™ / 0 } x b " “ ” (

, CV

! W q { J

;

e

! ~ I ~ Z

3.2.1

 €  ‚ ƒ „ … † ‡ ˆ ‰ Š ‹ Œ  ¦ R ) * ™ š › ( l 1 V " | V

,

Z  Ž 1 5 6 “  ¶ ½ ' ( ) * + ™ š , - "  P Ÿ ™

,

‘ / 5 6 ’ 6 7 Z 8

3.2.2

“ ” • – — ˜ ™ š › œ  ž

: :     é X Y

: Bali et al., 2007

Š

Shiu and Liu, 2013

ô y Ÿ K

,

® I M Ç

S Ñ ® ¯ …    

:

8

í   ( ) Colquitt and Hoyté 1997ô Ç Sinkey and Carteré 2000ô å p Ñ   | , ' Ã 6 ß æ ç Ö Ý è û ü | å p ' ,> ¡ Å ¢ þ Ç £ þ | æ ç Ö Ý è û ü | ð ¤ ù ¥ ,6 7 Ì Ý ¦ ö § ù ¥

(14)

SR

i,t

= γ0

,t

+ γ1

,i,t

IR

t

+ γ2

,i,t

R

m,t

+ e

i,t

.

(3)

SR

i,tB    ¨ … s t

i

N

t

¨ y Ñ z r s

; IR

tB N

t

¨ 6 © ª ¨ «

¬ 9 1 ­ ® ® ¯ 6 / # ¯ U Ò é

six-month LIBOR rate

ô é

Hentschel and Kothari,

2001

ô

;

R

m,t N

t

¨ 6 b c È u 7  y r s ¯

,

: : H I

CRSP

6

NYSE

”

AMEX

Š

NASDAQ

  R  b c   ‚ ( ~ W é

equal-weighted index

ô

,

Ÿ B b c

r s 6 Â U / W

;

e

i,t @ B n Ÿ á  ƒ Ç T O ¦ È > ,

,

? ° ± Ü ! s t Ñ z

r s ¯ y / #

,

ã C Í b c È u 7  y r s ¯ ² ³ G 8

,

? ´ Â 4 Í ® ¯

y / # S ² ³

;

2 M

,

Ç

(3)

 y

γ1

i Á ® ¯ B / # L ª µ Û

,

À s t y Ñ z

/ # ¶ ª µ Û

,

Ì § S Ñ À s t y ® ¯ …     

3.2.3

“ · ¸ œ  ž

Ý  y ¹ W  é X Y

: Amit and Livant, 1988; Pottier and Sommer, 1999; Browne

et al., 2001

ô

,

© ª H I u v r s ¯ é

return on assets, ROA

ô

,

Ÿ B Ñ „ … s t

  y ~ Ù

,

Õ Ö § ~ Ù º œ Á  s t Ð  y   {

,

] œ  » …

,

¦ §

  

Browne et al.

é

2001

ô 

Elango et al.

é

2008

ô

,

H I Z ¼ … g h ¾ y

r s ¯ \ é

risk-adjusted returns

ô

,

Ÿ B s t   y ~ Ù  § ~ Ù Ü G À  A u v r s ¯ ã G ½ O   À  A 6 r s ¯ Ù  Ÿ y Ò { S Ñ 

3.3

c ¾ ¿ À Á  Z  l d à S 5 6 , + ) ¦ " W q { J

,

¬ Ä o ) Å Æ  Ç Å Æ { J ª ž È

,

É x R ´

2

Z

4.

 Ê Ë Ì Í ¥ ¦ Î Ï

4.1

c Ð Ñ Ò Ó m ® ] Ô Y Ÿ 5 6 ­ ~ { J " ¨ Õ U . g ˆ U . g Š U  8 4 I … Ö e ³ ² 6 ®

,

 ¦ r s É x R ´

3

Z ´

3

» " × X Ø ~ P ! Ù Æ \ ] U " Ö e + ³ ²

,

’ Ú )

221

Û \ ] U

;

3

           

(15)

2

Ü Ý Þ ß à á â ã ä å æ ç è é ê ë ì í î ï ê ð ñ ò ó ô õ ö ÷ ø ù

1%

ç è ã ú û ü è ð ñ ý þ      õ ö è          õ ö è  î  û ü è     ç è  ! " # $   ç è  ! " #

= 1;

% $   ç è  ! " #

= 0

ç è  ! " #   & ù  ' ò ç è  ! ( ) " # û * + , (   -   û ü è . ! " # $  % & - '   ( ) * + ô , û ü è - ú ! . ( / 0 1 . ( 2 ó 3 / & 4 ò 5 $ 6 7 û - ( '   -   û ü è ø 8 9 : ó I ( ) û < = ô ,   ( ) * + ô , û ü è ð ñ > ?   - ' @ A B C ä

 ( ï ê î D ( E  ( ï ê é

individual life insurance and annuities

ô F

-G H I J ê î D ( ò K L ü

M N  ( O ê î D ( M N  ( é

group annuity

ô F - G H I J ê î D ( ò K L ü

P Q O R  S 0 î D ( P Q O R  S 0 é

guaranteed investment contracts

ô F - G

H I J ê î D ( ò K L ü

  % & T U V 8 W   8 W   X 8 W % & ò  ,   -   é Y Z  i ,

,

\ ]   % & ^ _ W ` 8 W  

,

a ] %

,

b ]   % & ^ _ W ` 8 W % & ô

  % & T U V 8 W % & 8 W   X 8 W % & ò  ,   -   é Y Z  % ,

,

b @ c C ,

,

\ ]   % & ^ _ W ` 8 W % &

,

a d e ] i ,

,

b ]   % & ^ _ W ` 8 W   ô f O ê ü è f O ê g h i '   - O g j k l m L n f O ê g é

reinsurance assumed

ô ò ü è ç o O p q ä o r s t u v  w ç   ç o g  û ü , ( ) x 9 ð ñ ^ _ y

2008–2009

 

,

 ä ,

1

z {

,

 b ]

0

(16)

3

| } ~  Ž   ‘ ’ “ ” • é – — ˜ = 22 1 ô ™ š › œ  ž Ÿ   ¡ “ é – — ˜ = 11 2 ô ¢ š › œ  ž Ÿ   ¡ “ é – — ˜ = 109 ô t-£ ¤ ¥ ¦ § ¨ © ª « £ ¤ ¬ ­ ˜ ® ¯ ° ± ² ³ ± ´ ³ ¬ ­ ˜ ® ¯ ° ± ² ³ ± ´ ³ ¬ ­ ˜ ® ¯ ° ± ² ³ ± ´ ³ ¬ ­ ˜ p -v al u e µ ¶ ˜ Z ³ p -v alue · ¸ ¹ “ º » ¼ ¯ 0 .06 51 0 .11 75 0 .00 39 1 7.7 11 9 0 .085 1 0.1 52 0 0 .27 05 17 .71 19 0.0 381 0 .0 591 0.0 03 9 6.5 60 8 2 .99 61 ** * 0 .00 31 0.3 20 6 2 .778 9* ** 0. 002 7 ” • ½ ¾ 0 .11 76 0 .38 48 0 .01 16 0.5 89 8 0 .127 3 0.4 26 2 0 .03 42 0 .58 98 0.1 079 0 .3 386 0.0 11 6 0.3 51 8 2 .74 51 ** * 0 .00 25 0.0 65 1 2 .018 3* ** 0. 001 5 ¿ À Á Â Ã Ä 1 .33 28 2 .30 84 0 .00 17 2 1.4 74 5 1 .359 5 2.6 62 5 0 .02 49 21 .47 45 1.3 064 1 .8 928 0.0 01 7 1 8.4 82 1 1 .71 21 ** * 0 .00 29 0.8 55 1 1 .924 8* ** 0. 016 2 Å Æ  0 .63 43 0 .84 11 0 .00 43 1 1.0 75 6 0 .457 9 0.8 44 8 0 .00 43 11 .07 56 0.8 091 0 .7 998 0.0 06 7 6.0 12 4 3 .24 92 ** * 0 .00 52 0.3 79 0 3 .491 6* ** 0. 000 2 Ç È É Ê 0 .82 98 30 .04 01 0 .00 23 7.3 60 3 1 .516 9 2.4 73 7 0 .00 23 7 .36 03 0.1 354 42 .3 054 0.0 05 6 4.6 53 7 1 .99 34 ** * 0 .04 73 1.5 80 6 2 .281 7* ** 0. 011 3 ” • Ë Ì 4 .56 78 8 .21 95 0 .00 89 9.4 38 3 6 .505 4 1.9 13 6 2 .16 34 9 .43 83 2.6 476 11 .1 119 0.0 08 9 6.3 82 5 9 .52 71 ** * 0 .00 00 5.4 84 8 8 .744 4* ** 0. 000 0 Í Î Ï ’ “ ¯ Ð Ñ Ï 0 .35 55 0 .32 28 0 .00 06 0.8 96 9 0 .462 2 0.3 26 6 0 .00 36 0 .89 69 0.2 459 0 .2 801 0.0 00 6 0.4 35 4 4 .86 04 ** * 0 .00 00 0.3 70 4 4 .332 5* ** 0. 000 0 Ò Ó Î Ï Ô “ Ð ¯ Ñ Ï 0 .42 34 0 .33 73 0 .00 08 0.9 37 4 0 .446 0 0.3 27 5 0 .00 29 0 .93 74 0.4 010 0 .3 453 0.0 00 8 0.3 87 6 1 .11 51 ** * 0 .12 68 0.3 09 1 1 .937 1* ** 0. 074 3 Õ Ö Ô × Ø Ù Ð Ú ¯ Ñ Ï 0 .66 88 1 .49 91 0 .00 03 8.9 98 7 0 .114 0 1.0 86 6 0 .00 35 8 .99 87 0.8 945 1 .7 895 0.0 00 3 3.9 94 4 2 .30 81 ** * 0 .02 31 0.4 32 1 3 .644 1* ** 0. 000 1 Ø Û Ü Ý Þ ß Ð à È á Ø Û 0 .50 44 0 .85 93 0 .00 61 5.9 79 2 0 .722 6 1.0 85 3 0 .01 87 5 .97 92 0.2 882 0 .4 582 0.0 06 1 1.8 15 5 3 .80 83 ** * 0 .00 00 0.3 28 7 2 .991 3* ** 0. 001 4 Ø Û Ü Ý Þ ß Ð à È á Ü Ý 0 .14 04 0 .49 96 0 .00 44 4.5 49 1 0 .277 9 0.6 82 2 0 .01 60 4 .54 91 0.0 537 0 .1 433 0.0 04 4 1.1 13 1 1 .96 22 ** * 0 .08 54 0.3 79 2 1 .960 8* ** 0. 027 2 â Ô “ ã ¸ 1 .12 81 3 .19 59 0 .00 43 7.8 51 2 2 .138 8 4.2 98 3 0 .01 24 7 .85 12 0.1 265 0 .1 028 0.0 04 3 3.8 55 1 4 .94 54 ** * 0 .00 00 0.1 09 6 6 .586 3* ** 0. 000 0 · ä Ô å æ ˜ 49 .43 02 54 .22 02 − 4 .57 13 14 2.2 75 6 3 9. 795 1 5 1.5 52 6 − 9 .57 26 142 .27 56 5 8.9 486 56 .9 148 − 4.5 71 3 9 8.3 62 8 2 .27 79 ** * 0 .00 34 8.5 48 6 3 .960 1* ** 0. 047 3 Ï ç è É 0 .22 62 0 .41 83 0 .00 00 1.0 00 0 0 .263 6 0.4 40 6 0 .00 00 1 .00 00 0.1 892 0 .3 917 0.0 00 0 1.0 00 0 2 .15 89 ** * 0 .04 47 0.0 00 0 1 .904 9* ** 0. 039 7 é :* * * ê ë ì í 0 .01 î ï ð ñ ò ;* * ê ë ì í 0.0 5 î ï ð ñ ò ;* ê ë ì í 0.1 î ï ð ñ ò ó ô ê õ ö ÷ ø ù ú û ü , ý þ ê 2 ó

(17)

                

,

112

 

109

     

,

 

t-

    ! " # $   é

Wilcoxon signed-rank test

ô

,

%

&             ' ( ) * + , - . /   

,

  0 1 2 3 4 ' ( 5 6 7 8 9 : : <

,

= > ? + @ A   0  B C D

,

E F 0 . /  G G H

4

 I J " é

Pearson

ô K L M + N O P Q

,

       R S T U V  W X B C  Y Z @ \

,

@

1%

 0  B C D E ] ^ K L

,

K L M +

0.486

S

0.398

 @ = > ? + _ `

,

5 6 7 8 9 : ? + : <

,

= > a ? + E

10%

0  B C : b  K L  % c d  e a f g ? +  ? / h i M

+ é

variance inflation factor, VIF

ô

,

j k a  ? + 

VIF

l m n

10,

0 1 ? +

 o  p q  r s t u é

Gujarati, 1995

ô  G G H n v  Y Z       w x S T U V  W X B C P y z   é

endogeneity

ô  { |

,

} v  Y Z       w x  ~ ~

,

:  € (  T U V  W X  ‚ ƒ

;

v  Y Z (  W X  T U V  ‚ ƒ  „ … † :  €      w x  

,

‡ ˆ ‰ Š % & z     é

Wooldridge, 2013

ô

,

K L   ] k @

5,

‹ Œ  ‚  Ž   ‘ 1  ’ “ 0 1

:

T U V  W X B C S Y Z @ \ ” T U     

,

• @ z    r s

,

– ‰ Š t — ˜ ™

Galloway et al.

é

1997

ô S

Guay

é

1999

ô  š ›

,

œ f g ? +  ž Ÿ c  

,

¡ ¢ £

¤   ? + o P y j   ¥ ¦ § ¨ é

simultaneity bias

ô  r s

,

¥ ¦ Ÿ © ª E   « ¬ ­ m ) _ ›

,

% & ® ¯ °  ±  

4.2

c ² ³ ´ µ

4.2.1

 ¶ · ‰ Š €  ‚ ƒ „ ‡ ˆ ¸ €  ¹ º » ¼ ½ ¾ ¿ À Á  à ‹ $ Ä I ´

6

o ¹

,

' ( / 0 1 2 3 4 S 7 8 Å Æ ª

Adjusted-

R

2

,

j K `

0.4555

S

0.2908, F

U · “

0.01

" 3 4 ^ ¸ º

,

´ ¹ ~ c x Æ ³ ² d " Ç F f é

overall

statistical goodness of fit

ô È  Z Z  B ½

:

“ ' ( / 0 1 2 3 4 " Å Æ »

,

!

£ l 1 ' ( ) * + , - ª { J

,

¡ ã ä å “

0.05

3 4 ^ ¸ º

;

“ 7 8 Å Æ

»

,

 { J l ! ã ä

,

¬ “

0.01

3 4 ^ ¸ º Z ? r s ´ ¹

,

l 1 ' ( ) * +

™ š , -

,

´ – . / ¯ Œ 5 6 7 8 é

Froot et al., 1993; Nguyen and Faff, 2003;

(18)

4

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(19)

5

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(20)

6

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2009

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(21)

7

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4.2.2

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(22)

8

œ  ~ ž Ÿ   ¡     ~       ~ à            Í T 2SLS " # $  ¸ " # $  =% ® »  & ' ( $ ¸ " # $  =  ) * +  # $ U +  # $ U - . / 0.0417** 0.0244 0.0196*** 0.0058 % ® 0 1 2 3 4 Ÿ   { 0.0605** 0.0282 0.0161*** 0.0051 › - 5 6  ¨ 0.0276** 0.0131 0.0146*** 0.0047 7 8 2 −0.0084 0.0095 ó 9 : ; −0.0000 0.0004 −0.0000 0.00003   < = 0.0251** 0.0111 0.0021** 0.0009 w }   $ > } 0.0332** 0.0154 0.0043** 0.0018 ÷ ? w } $  $ > } 0.0250** 0.0122 0.0035* 0.0029 = @ $ ¼ y A B $ > } 0.0139* 0.0116 0.0026** 0.0008 y z C D 2 E F 9 ø y z 0.0519*** 0.0165 0.0077*** 0.0025 y z C D 2 E F 9 ø C D 0.0364*** 0.0113 0.0063** 0.0027 ? $  > ® 0.0422** 0.0204 0.0153*** 0.0041 % G $ H I  0.0001 0.0028 } ð J : 0.0026 0.0039 AdjustR2 0.4333 0.3108 F test 3.22*** 3.16*** No. of Obs. 112 112 é : ***ê ë ì í 0.01î ï ð ñ ò ; **ê ë ì í 0.05î ï ð ñ ò ; *ê ë ì í 0.1î ï ð ñ ò ó

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(23)

9

œ  ~ ž Ÿ   °         ~     ~ à            Í T 2SLS " # $  ¸ " # $  =% ® »  & ' ( $ ¸ " # $  =  ) * +  # $ U +  # $ U - . / 0.0616** 0.0302 0.0282*** 0.0089 % ® 0 1 2 3 4 Ÿ   { 0.0792*** 0.0253 0.0194*** 0.0059 › - 5 6  ¨ 0.0289* 0.0272 0.0169** 0.0079 7 8 2 −0.0094 0.0099 ó 9 : ; −0.0009 0.0009 −0.0017 0.0021   < = 0.0451** 0.0199 0.0044** 0.0019 w }   $ > } 0.0732** 0.0298 0.0066** 0.0031 ÷ ? w } $  $ > } 0.0435** 0.0201 0.0079* 0.0053 = @ $ ¼ y A B $ > } 0.0239* 0.0188 0.0045 0.0019 y z C D 2 E F 9 ø y z 0.0898*** 0.0273 0.0096** 0.0038 y z C D 2 E F 9 ø C D 0.0524*** 0.0146 0.0082** 0.0036 ? $  > ® 0.0822*** 0.0236 0.0231*** 0.0062 % G $ H I  0.0036 0.0051 } ð J : 0.0040 0.0063 AdjustR2 0.4887 0.3389 F test 3.51*** 3.11*** No. of Obs. 87 87 é : ***ê ë ì í 0.01î ï ð ñ ò ; **ê ë ì í 0.05î ï ð ñ ò ; *ê ë ì í 0.1î ï ð ñ ò ó

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2007

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(24)

10

œ  ~ ž Ÿ   °       ~     ~ à            Í T 2SLS " # $  ¸ " # $  =% ® »  & ' ( $ ¸ " # $  =  ) * +  # $ U +  # $ U - . / 0.0465** 0.0213 0.0383*** 0.0115 % ® 0 1 2 3 4 Ÿ   { 0.0518** 0.0258 0.0212*** 0.0069 › - 5 6  ¨ 0.0269** 0.0128 0.0197*** 0.0058 7 8 2 −0.0052 0.0049 ó 9 : ; −0.0000 0.0021 −0.0035 0.0039   < = 0.0275** 0.0126 0.0044** 0.0019 w }   $ > } 0.0395** 0.0183 0.0066*** 0.0021 ÷ ? w } $  $ > } 0.0262** 0.0128 0.0052* 0.0049 = @ $ ¼ y A B $ > } 0.0165* 0.0149 0.0046** 0.0022 y z C D 2 E F 9 ø y z 0.0648*** 0.0212 0.0098** 0.0048 y z C D 2 E F 9 ø C D 0.0396*** 0.0125 0.0087** 0.0039 ? $  > ® 0.0529*** 0.0164 0.0291*** 0.0089 % G $ H I  0.0002 0.0015 } ð J : 0.0054 0.0069 AdjustR2 0.4507 0.3578 F test 3.25*** 3.36*** No. of Obs. 92 92 é : ***ê ë ì í 0.01î ï ð ñ ò ; **ê ë ì í 0.05î ï ð ñ ò ; *ê ë ì í 0.1î ï ð ñ ò ó G G ­ Ÿ c  ± ²  ³ ´

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(27)

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(28)

ø ù _ `

Allayannis, G. and J. P. Weston (2001), “The Use of Foreign Currency Derivatives and Firm Market Value,” Review of Financial Studies, 14, 243–276.

Amit, R. and J. Livant (1988), “Diversification and the Risk-Return Trade Off,” Academy of

Management Journal, 31, 154–166.

Aretz, K. and S. Bartram (2010), “Corporate Hedging and Shareholder Value,” Journal of

Financial Research, 33, 317–371.

Bali, T. G., S. R. Hume, and T. F. Martell (2007), “A New Look at Hedging with Derivatives: Will Firms Reduce Market Risk Exposure?” Journal of Futures Markets, 27, 1053–1083. Bartram, S., G. Brown, and J. Conrad (2011), “The Effects of Derivatives on Firm Risk and

Value,” Journal of Financial and Quantitative Analysis, 46, 967–999.

Berkman, H. and M. E. Bradbury (1996), “Empirical Evidence on the Corporate Use of Deriva-tives,” Financial Management, 25, 5–13.

Bessembinder, H. (1991), “Forward Contracts and Firm Value: Investment Incentive and Con-tracting Effect,” Journal of Financial and Quantitative Analysis, 26, 519–532.

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Brewer, E., J. M. Carson, E. Elyasiani, I. Mansur, and W. L. Scott (2007), “Interest Rate Risk and Equity Values of Life Insurance Companies: A GARCH-M Model,” Journal of Risk

and Insurance, 74, 401–423.

Browne, M. J., J. M. Carson, and R. E. Hoyt (2001), “Dynamic Financial Models of Life Insurers,” North American Actuarial Journal, 5, 11–26.

Carter, D. A., D. A. Rogers, and B. J. Simkins (2006), “Does Hedging Affect Firm Value? Evidence from the US Airline Industry,” Financial Management, 35, 53–86.

Colquitt, L. L. and R. E. Hoyt (1997), “Determinants of Corporate Hedging Behavior: Evi-dence from the Life Insurance Industry,” Journal of Risk and Insurance, 64, 649–671. Cummins, J. D., R. D. Phillips, and S. D. Smith (1997), “Corporate Hedging in the Insurance

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Elango, B., Y. L. Ma, and N. Pope (2008), “An Investigation into the Diversification-Performance Relationship in the U.S. Property-Liability Insurance Industry,” Journal of Risk and

In-surance, 75, 567–591.

Flannery, M. J. and C. M. James (1984), “The Effect of Interest Rate Changes on the Common Stock Returns of Financial Institutions,” Journal of Finance, 39, 1141–1153.

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INTEREST RATE DERIVATIVES,

RISK EXPOSURE AND PERFORMANCE

Hui- Hsuan Liu

Department of Finance

Ling Tung University

Yung- Ming Shiu

Department of Risk Management and Insurance

National Chengchi University

Chi- Feng Wang

Department of International Business

National Kaohsiung University of Applied Sciences

Keywords: Interest rate derivatives, Interest rate risk exposure, Performance

JEL classification: G32

Correspondence: Chi-Feng Wang, Department of International Business, National Kaohsiung Uni-versity of Applied Sciences, Kaohsiung 807, Taiwan. Tel: (07) 381-4526 ext. 6100; Fax: (07) 615-2783; E-mail: [email protected].

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ABSTRACT

5 5 The purpose of this paper is to examine the relations between life insurers’ use of

interest rate derivatives and their both risk exposure and performance. Using structural equations and two-stage least square approach, we examine whether and how interest rate derivative use affects interest rate exposure and is related to firm performance. Overall, our results show that the use of interest rate derivatives is positively related to both interest rate risk exposure and firm performance. Several robustness checks have been conducted and results remain qualitatively unchanged. Based on our results, we offer several implications for practitioners and policymakers.

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