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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 ]
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 26Allstate 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
1
é v ô 2009w x # A y z { é | } ~ ô ' y # w Panel C: ePhoenix 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 # y
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%
(US$ million) 2
2000–2009
l m n o p q r s t u v w x y zIRRE
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six-month LIBOR rate
ô éHentschel and Kothari,
2001
ô;
R
m,t Nt
¨ 6 b c È u 7 y r s ¯,
: : H ICRSP
6NYSE
AMEX
NASDAQ
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B b cr s 6 Â U / W
;
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: Amit and Livant, 1988; Pottier and Sommer, 1999; Browne
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risk-adjusted returns
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simultaneity bias
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statistical goodness of fit
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4
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5
~ ! ~ Î Þ ¸ " # $ % ® » & ' ( $ ) * + # $ , + # $ , - . / 0.0432 0.1934 0.0632 0.0976 Û % ® 0 1 2 3 4 0.0002** 0.0000 0.0569** 0.0212 % ® 0 1 2 3 4 { 0.0757*** 0.0062 0.1547** 0.0679 ν1 0.0506** 0.0211 ν2 0.0723* 0.0673 ν3 0.0729** 0.0271 ν4 0.0931* 0.0574 - 5 6 ¨ 0.0039 0.5451 0.0078 0.0104 7 8 2 0.0186 0.1361 ó 9 : ; 0.0002 0.0049 0.0274 0.3673 < = 0.0004** 0.0002 0.0054** 0.0023 w } $ > } 0.0462** 0.0216 0.3925** 0.1456 ÷ ? w } $ $ > } 0.0032* 0.0025 0.0944*** 0.0199 = @ $ ¼ y A B $ > } 0.0084*** 0.0018 0.0310* 0.0167 y z C D 2 E F 9 ø y z 0.0126 0.0199 0.0758* 0.0544 y z C D 2 E F 9 ø C D 0.0256 0.0334 0.1753* 0.1319 ? $ > ® 0.0053** 0.0012 0.0271* 0.0104 % G $ H I 0.0001 0.0002 } ð J : 0.0433 0.0506 AdjustR2 0.1989 0.2126 K 1 2 FL { 7.23*** 8.34*** K 1 2 LMM Ó 16.8436 18.2129 é : ***, **N *O P ê ë 1%, 5%Q 10%ú î ï ñ ò ó
6
R S ~ à Í T 2SLS " # $ ¸ " # $ =% ® » & ' ( $ ¸ " # $ = ) * + # $ U + # $ U - . / 0.0445** 0.0202 0.0107*** 0.0026 Û % ® 0 1 2 3 4 0.0563** 0.0183 0.0142*** 0.0038 - 5 6 ¨ 0.0072* 0.0048 0.0062** 0.0029 7 8 2 −0.0061 0.0073 ó 9 : ; −0.0000 0.0012 0.0000 0.0000 < = 0.0216** 0.0111 0.0014** 0.0007 w } $ > } 0.0429** 0.0186 0.0046** 0.0018 ÷ ? w } $ $ > } 0.0229** 0.0101 0.0039* 0.0015 = @ $ ¼ y A B $ > } 0.0169* 0.0144 0.0004 0.0004 y z C D 2 E F 9 ø y z 0.0683*** 0.0221 0.0078** 0.0033 y z C D 2 E F 9 ø C D 0.0361*** 0.0106 0.0059** 0.0021 ? $ > ® 0.0482*** 0.0147 0.0169*** 0.0049 % G $ H I −0.0001 0.0026 } ð J : 0.0029 0.0029 AdjustR2 0.4555 0.2908 F test 2.40*** 2.16*** No. of Obs. 221 221 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 ó2009
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ô j k:
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7
~ ~ à Í T 2SLS " # $ ¸ " # $ =% ® » & ' ( $ ¸ " # $ = ) * + # $ U + # $ U - . / 0.0577** 0.0282 0.0151*** 0.0044 % ® 0 1 2 3 4 { 0.0644** 0.0298 0.0183*** 0.0057 - 5 6 ¨ 0.0282** 0.0135 0.0158** 0.0065 7 8 2 −0.0075 0.0096 ó 9 : ; −0.0000 0.0024 0.0000 0.0000 < = 0.0331** 0.0145 0.0026** 0.0010 w } $ > } 0.0541** 0.0234 0.0055** 0.0022 ÷ ? w } $ $ > } 0.0338** 0.0125 0.0048* 0.0034 = @ $ ¼ y A B $ > } 0.0195* 0.0178 0.0038* 0.0021 y z C D 2 E F 9 ø y z 0.0864*** 0.0262 0.0088** 0.0042 y z C D 2 E F 9 ø C D 0.0415** 0.0202 0.0071** 0.0028 ? $ > ® 0.0795*** 0.0225 0.0192*** 0.0059 % G $ H I −0.0002 0.0034 } ð J : 0.0038 0.0051 AdjustR2 0.4701 0.3427 F test 3.39*** 3.21*** No. of Obs. 221 221 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 ó4.2.2
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8
~ ¡ ~ ~ à Í T 2SLS " # $ ¸ " # $ =% ® » & ' ( $ ¸ " # $ = ) * + # $ U + # $ U - . / 0.0417** 0.0244 0.0196*** 0.0058 % ® 0 1 2 3 4 { 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 ó5.
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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].
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.