Financial Changes in Insurance Sector of Pakistan - Research Paper



Abstract: The purpose of this paper is to discuss Financial Changes in Insurance Sector of Pakistan (2001 to 2010). Mainly this study discussed changes in profitability of insurance sector of Pakistan before taxation as well as changes in sales of insurance sector of Pakistan over the decade. This study finds out consistency of Paid-up-capital, numbers of Shares, equity, total assets, sales, profit before tax and profit after tax over the decade. Changes and modifications in following variables also presented graphically in this paper.

Introduction: Insurance is designed to protect the financial well-being of an individual, company or other entity in the case of unexpected loss. Some forms of insurance are required by law, while others are optional. Agreeing to the terms of an insurance policy creates a contract between the insured and the insurer. In exchange for payments from the insured (called premiums), the insurer agrees to pay the policy holder a sum of money upon the occurrence of a specific event. In most cases, the policy holder pays part of the loss (called the deductible), and the insurer pays the rest.

Types of Insurance:
·         Travel insurance: To cover you in case you lose your luggage, miss your plane or train.
·         Vehicle insurance: To cover your vehicle’s accidental damages or if your vehicle is stolen.
·         Home buildings insurance: To cover your home in case of fire and other defined events.
·         Contents Insurance: To cover your property in case of burglary, fire and other defined events.
·         Health insurance: To cover you for injury, or medical or dental treatment.
·         Life insurance: To cover you if you can’t work due to an accident or illness, or if you die.
·         Consumer credit insurance: To cover you if you can’t repay some of your loan because you are unable to work.



Some reasons to insure:
·         Insurance can help you replace something you own and could not afford to replace. For example, if your home was destroyed in a fire, you would need a big lump sum to rebuild it.
·         Insurance can protect you from something that might not happen, but which would be bad for you if it did. For example, if you were injured in an accident and couldn’t work anymore, you would need money to live on.
·         Insurance can help you pay off a debt if something you’ve bought with a loan is damaged or destroyed. For example, if you took out a loan to buy a car and the car was written off in an accident, you would need money to pay off the loan.
Insurance Sector in Pakistan
The business of insurance in Pakistan has been regulated under the Insurance Act, 1938. In order to implement and administer the provisions of the aforesaid Act, the Government established the Department of Insurance, in April 1948, as a department of the Ministry of Commerce, headed by a Controller of Insurance. Until eventual implementation of the new law of insurance, namely, Insurance Ordinance, 2000 which has only recently been enacted, the insurance industry has continued to be regulated by the Controller of Insurance.
MAIN FEATURES OF INSURANCE ORDINANCE, 2000
§  The Ordinance provides for regulation of Insurance Industry by an autonomous body i.e. the Commission replacing the institution of Controller, Department of Insurance.
§  The insurance business has been bifurcated into two main divisions,
o   Life Insurance Business; and
o   Non-Life Insurance Business. Each of these two divisions has further been divided into different classes.
§  Capital requirements for life insurance and non-life insurance companies have been raised from Rs. 100 million to Rs. 150 million and from Rs. 40 million to Rs. 80 million respectively.
§  The minimum solvency margin has not been fixed and is to be prescribed under the rules from time to time.
§  Enforcement of the insurance law has been made more effective by giving to the Commission powers of investigation and issuance of directives.
§  Detailed provisions have been made to prevent insurers from indulging in practices prejudicial to the interest of policyholders.
§  Provision has been made for the institution of an Insurance Ombudsman who shall have the authority to investigate mal-administration of insurance companies and to redress grievances of the insurers.
§  Provision has been made for the constitution of an Insurance Tribunal, which shall have, civil as well as criminal jurisdiction.
§  Special provisions have been made for the establishment of a Small Disputes Resolution Committee for speedy settlement of minor claims.
§  Penal provisions for contravention of the insurance law have been made stricter.
§  Reinsurance arrangements have been strengthened and rules would be made for reinsurance arrangements even outside Pakistan.
§  Life insurance business companies are required to maintain separate funds for separate classes of their business.
§  Adequate disclosure requirements by insurance companies have been prescribed for purposes of reporting to the regulator.

Literature Review:
The Growth Rates of Private Health Insurance Premium were analyzed by Feldstein ET. AL (1995) for a selected sample of 95 insured groups over the period 1985 to 1992. The result of this study describes that during this time period, premiums increased by approximately 150% in nominal terms and by 45% in real terms. The observed rate of growth was not constant over time, however. The most rapid growth occurred during the years 1986 to 1989; thereafter, the rate of increase in premiums declined. Further, this analysis suggests that the insurance underwriting cycle may play an important role in influencing insurance premium growth rates. These results support the belief that health maintenance organization induced competition has potential to control the rate of increase in health care costs.

The study titled “A Review of Insurance Sector and HRM/HRD Aspects” by PROF. DR. KHAWAJA AMJAD SAEED in 2007 describes that Insurance Sector has registered a very slow growth in the history of Pakistan. Based on this research study, the following conclusions emerged:
1.      Listed insurance sector on Karachi Stock Exchange in terms of companies is only 4.4%.
2.      Share of listed insurance sector on total listed companies on Karachi Stock Exchange is only 1.41%.
3.      Out of 637 listed companies, only 29 relate to insurance sector.
4.      From the birth of Pakistan till now we have added only 29 listed companies- giving us a ratio of less than 0.5 per company per year.
5.      Turnover for 10 months (January – October 2007) on the Karachi Stock market was only 1.55% of the total turnover.
6.      Share of insurance sector on listed companies on Karachi Stock Exchange is only 3.83% in respect of Market Capitalization.
7.      Share of insurance in GDP of Pakistan is only 1.80%. Ten percentage companies’ shares are listed below par. Therefore, these are sick. They need revival.

A research paper written by Robert Cull, Lemma W. Senbet, Marco Sorge in Feb, 2005, that paper has provided empirical evidence on the impact of deposit insurance on banking sector development and stability. We use a unique dataset capturing a variety of deposit insurance features, such as coverage, entry hurdles, premium structure, etc. The empirical construct is guided by recent theories of banking regulation that employ an agency framework. The basic moral hazard problem studied is the incentive for depository institutions to engage in excessively high-risk activities, relative to socially optimal outcomes, in order to increase the option value of their deposit insurance guarantee. Overall we find empirical evidence to be consistent with this theory. Generous government-funded deposit insurance tends to have a negative effect on financial development and growth except in countries where the rule of law is well established and both sufficient supervisory discretion and independence from legal reprisal are in place. Thus, the main conclusion of this paper is that the introduction of generous depo-sit insurance schemes in countries lacking adequate bank supervision and rule of law might not help but rather be an obstacle for financial system stability and development.

A research paper written by Krishna Gopal Menon and David D. Williams in April, 1994, that paper provides some empirical tests of the insurance hypothesis of auditing. The disclosure of L&H's bankruptcy are attributable to the absence of the expected insurance coverage, i, rather than to problems of monitoring introduced by the bankruptcy of the auditor. III. Conclusion This paper provides some empirical tests of the insurance hypothesis of auditing. The disclosure of L&H’s bankruptcy was found to have a negative impact on L&H client stock prices. There was no corresponding increase in stock prices on announcement of a replacement auditor. The value of the expected insurance coverage, i, included in the price of the stock, was hypothesized to vary with the magnitude of losses previously sustained by the security and with the security's classification either as an IPO or as a seasoned security. These hypotheses were supported empirically. Overall, the results of the paper suggest that auditors are viewed by investors as guarantors of financial statements, and in a sense, as guarantors of investments. Investors appear to be willing to pay a premium for the right to recover potential investment losses from auditors through litigation. These findings have important implications.
A research study conducted  by Jonathan Gruber in Dec, 2001, that provide a key question or understanding the determinants of health insurance coverage, as well as the broader impacts of tax reform, is the sensitivity of insurance decisions to tax subsidies. The findings in this paper suggest that this sensitivity is significant. In particular, we  find that the firm's decision to offer insurance is sizeabley affected by the tax price of insurance; the implied elasticity of firm offering with respect to taxes is -0.7. This confirms the conclusion from other recent work that employers are very sensitive to tax incentives in their decisions to offer insurance. we also find that taxes appear to exert little independent influence on worker take up decisions. This is consistent as well with other findings that worker take up of insurance is not price elastic.

A research study conducted by  Bradley Herring and Mark V. Pauly in 2001, the results of this study of a large sample of individual insurance purchasers the mid-to-late-90s are highly consistent with those exhibited in our earlier work using a smaller sample of purchasers the late-80s. Premiums are not very strongly related to risk, and the risk associated with differences in health status (other things equal) has no detectable relationship to premiums buyers actually paid-whatever it might do to the premiums some insurers quote. Somehow, high-risk individuals in the individual market who do end up buying insurance pay premiums not very different from those charged to average risks.






Empirical Results:
A histogram is one of the basic quality tools. It is used to graphically represent and summarize and show the distribution and variation of a process data set.












This graph shows that the insurance companies of Pakistan gain maximum profit before tax in year 2002 and year 2003 is on the second number. Unfortunately it started declining from 2005 to 2009 and in year 2009 it has the minimum mean value.



On the other hands, Sales graph is showing that, the companies Average Sales were maximum in year 2001 but after year 2001, it continuously start declining in every year till 2007 and then again sale increase gradually from 2009 to 2010. Sales graph is showing the minimum value in 2007.


This line chart shows that the Paid-up capital is slightly increasing from year 2001 to year 2008 but year 2009 and year 2010 was declining period. And the line of equity is following the line of paid-up capital.

In 2001 the mean value of Total assets was nearly 5 million and year 2002 to year 2009 was rising period, suddenly in 2010 it rapidly decreased. As it is from year 2001 to year 2007 the Profit before tax and Profit after tax was increased but 2009-2010 was decreasing period.


Year
X bar
S.D
C.V



PAID-UP CAPITAL
(Rs. In Mill)
2001
97.21
113.47
116.73
2002
124.51
139.35
111.92
2003
135.76
157.37
115.97
2004
196.45
186.81
95.09
2005
163.12
177.99
109.12
2006
186.72
208.16
111.49
2007
307.93
250.9
81.48
2008
51.57
365.32
708.46
2009
452.65
579.19
127.96
2010
541.41
590.32
109.03
Total
2257.33
2768.88
1687.25




NO. OF SHARE
(Rs. In mill)
2001
10.71
12.75
119.08
2002
13.79
15.25
110.6
2003
15.21
17.38
114.29
2004
21.99
20.51
93.24
2005
18.11
20.12
111.1
2006
20.82
23.73
113.98
2007
32.5
25.58
78.69
2008
5.16
18.01
349.35
2009
4.48
57.15
1275.33
2010
56.85
58.8
103.44
Total
199.62
269.28
2469.1




EQUITY (Rs. In mill)
2001
141.11
175.59
124.44
2002
220.32
303.09
137.57
2003
253.49
377.61
148.96
2004
360.43
376.09
104.35
2005
361.39
614.67
170.09
2006
739.14
1685.44
228.03
2007
1148.79
2962.86
257.91
2009
1904.13
3518.79
184.8
2010
2177.2
3544.44
162.8
Total
7306
13558.58
1518.95




TOTAL  ASSETS
(Rs. In Mill)
2001
460.04
798.6
173.59
2002
710.35
1279.2
180.08
2003
1021.92
1725.33
168.83
2004
1579.88
2090.08
132.29
2005
1261.83
2334.63
185.02
2006
1861.71
3395.31
185.02
2007
2608.75
5466.39
209.54
2009
4259.41
6826.42
160.27
2010
5559.12
8274.15
148.84
Total
19323.01
32190.11
1543.48


As we know that Coefficient of Variation is used for checking the consistency; the table shows that PAID-UP CAPITAL was most consistent in 2007 because the C.V value is 18.48 which is minimum value as compare to other years. Same as NO. OF SHARES is also showing consistency in 2007 and EQUITY was consistent in 2004 as compared to other. TOTAL ASSETS also have similar results to EQUITY.






SALES
(Rs. In mill)
2001
263.58
63.73
239.67
2002
286.12
601.58
210.25
2003
373.55
720.3
192.82
2004
478.99
903.83
188.7
2005
473.62
1129.35
238.45
2006
854.89
2088.72
244.33
2007
869.32
2364.32
273.56
2009
959.34
2225.77
232.01
2010
1012.34
1833.04
181.04
Total
5571.75
11930.64
2000.83




PROFIT BEFORE TAX
2001
5.51
93.6
1697.5
2002
50.88
98.75
194.08
2003
75.38
116.14
154.08
2004
117.27
141.27
121.04
2005
153.41
293.6
191.38
2006
399.01
1335.41
334.68
2007
1136.55
2968.4
261.18
2009
166.49
597.94
359.14
2010
179.04
288.59
161.19
Total
2283.54
5933.7
3474.27




PROFIT AFTER TAX
2001
-0.18
92.18
-52081.8
2002
29.29
52.73
180.02
2003
59.21
99.58
168.17
2004
89.88
108.93
121.2
2005
130.44
255.31
195.73
2006
380.52
1329.4
349.37
2007
1115.72
2975.19
266.66
2009
143.37
568.16
396.3
2010
144.75
258.25
178.41
Total
2093
5739.73
-50226


SALES showing consistency in year 2010 and in 2010 the value of C.V is 181.04 which is minimum as compare to other. PROFIT BEFORE TAX was consistence in 2004. PROFIT AFTER TAX showing consistency in 2001.


ANOVA


Sum of Squares
df
Mean Square
F
Sig.
Paid-up capital (Rs. In mill
Between Groups
6484528.190
9
720503.132
7.965
.000
Within Groups
24152085.227
267
90457.248


Total
30636613.417
276



No. of Share (Rs. In mill)
Between Groups
73147.266
9
8127.474
9.156
.000
Within Groups
276059.421
311
887.651


Total
349206.687
320



Equity (Mill)(Rs. In mill)
Between Groups
161000986.613
8
2.013E7
5.658
.000
Within Groups
857157124.965
241
3556668.568


Total
1018158111.577
249



Total assets (Rs. In mill)
Between Groups
612213264.216
8
7.653E7
4.929
.000
Within Groups
3741780221.163
241
1.553E7


Total
4353993485.379
249



Sales (Mill) (Rs. In mill)
Between Groups
37168130.701
8
4646016.338
2.158
.031
Within Groups
518864388.523
241
2152964.268


Total
556032519.224
249



Profit before tax (Rs. In mill)
Between Groups
33786152.015
8
4223269.002
3.701
.000
Within Groups
288736585.525
253
1141251.326


Total
322522737.540
261



Profit after tax (Rs. In mill)
Between Groups
33479554.586
8
4184944.323
3.691
.000
Within Groups
286844889.336
253
1133774.266


Total
320324443.921
261




Hypothesis:

Sales:

Ho:  μ2001= μ2002= μ2003= μ2004= μ2005= μ2006= μ2007= μ2008= μ2009= μ2010
H1: At least one mean is significantly different



Profit after tax:

Ho:  μ2001= μ2002= μ2003= μ2004= μ2005= μ2006= μ2007= μ2008= μ2009= μ2010
H1: At least one mean is significantly different

Well the p-value of Paid up capital is less than 0.05, so for this we will accept the alternative hypothesis and reject the null hypothesis. Sales, Equity, No. of share, Total assets, Profit before tax and Profit after tax have p-value which is less than 0.05 from 2001 to 2010 same as for Paid up capital.
We applied the (LSD) test for checking that which year’s mean is significantly different from each other.

LSD
                       
(I) Year
(J) Year
Mean Difference (I-J)
Std. Error
Sig.
2001
2007
-210.728887*
75.522899
.006

2008
-294.697714*
143.791315
.041

2009
-407.675253*
77.869235
.000

2010
-465.864754*
78.757747
.000

2002
2007
-183.424547*
77.110339
.018

2008
-267.393375
144.631389
.066

2009
-380.370913*
79.409785
.000

2010
-438.560415*
80.281249
.000

2003
2007
-172.234839*
78.322775
.029

2008
-256.203667
145.281421
.079

2009
-369.181205*
80.587633
.000

2010
-427.370707*
81.446495
.000

2004
2009
-330.263020*
82.640144
.000

2010
-388.452521*
83.477891
.000

2005
2009
-341.761268*
76.966976
.000

2010
-399.950770*
77.865785
.000

2006
2009
-276.003151*
79.981877
.001

2010
-334.192653*
80.847175
.000

2007
2001
210.728887*
75.522899
.006

2002
183.424547*
77.110339
.018

2003
172.234839*
78.322775
.029

2009
-196.946366*
81.230169
.016

2010
-255.135868*
82.082309
.002

2008
2001
294.697714*
143.791315
.041

2009
2001
407.675253*
77.869235
.000

2002
380.370913*
79.409785
.000

2003
369.181205*
80.587633
.000

2004
330.263020*
82.640144
.000

2005
341.761268*
76.966976
.000

2006
276.003151*
79.981877
.001

2007
196.946366*
81.230169
.016

2010
2001
465.864754*
78.757747
.000

2002
438.560415*
80.281249
.000

2003
427.370707*
81.446495
.000

2004
388.452521*
83.477891
.000

2005
399.950770*
77.865785
.000

2006
334.192653*
80.847175
.000

2007
255.135868*
82.082309
.002







After applying LSD we observed that the mean value of from year 2001 to 2010 is significantly different.
Multiple regression analysis has applied; in ANOVA table the p-value tells us that the overall model is significant.

ANOVA
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
67603326.125
6
1.127E7
78.510
.000a
Residual
34873673.381
243
143513.059


Total
102476999.507
249



2
Regression
67482398.561
5
1.350E7
94.104
.000b
Residual
34994600.946
244
143420.496


Total
102476999.507
249




a. Predictors: (Constant), Sales (Mill) (Rs. In mill), Banks/Financial charges (Rs. In mill), No. of share (Rs. In mill), Total assets (Rs. In mill), Equity (Rs. In mill), Paid up capital (Rs. In mill).

b. Predictors: (Constant), Sales (Mill) (Rs. In mill), Banks/Financial charges (Rs. In mill), No. of Share (Rs. In mill), Total assets (Rs. In mill), Paid-up capital (Rs. In mill
c. Dependent Variable: Profit after tax (Rs. In mill).





Model
Non-standardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
6.293
30.954

.203
.839
Paid-up capital (Rs. In mill
-.780
.348
-.413
-2.242
.026
No. of Share (Rs. In mill)
5.898
3.315
.321
1.779
.076
Equity (Mill)(Rs. In mill)
-.031
.034
-.099
-.918
.360
Total assets (Rs. In mill)
-.037
.015
-.241
-2.463
.014
Banks/Financial charges (Rs. In mill)
18.860
2.506
.439
7.525
.000
Sales (Mill) (Rs. In mill)
.389
.029
.906
13.416
.000
2
(Constant)
11.597
30.400

.381
.703
Paid-up capital (Rs. In mill
-.771
.347
-.408
-2.218
.027
No. of Share (Rs. In mill)
5.573
3.295
.303
1.691
.092
Total assets (Rs. In mill)
-.045
.012
-.295
-3.760
.000
Banks/Financial charges (Rs. In mill)
17.219
1.756
.400
9.806
.000
Sales (Mill) (Rs. In mill)
.384
.028
.894
13.500
.000
a. Dependent Variable: Profit after tax (Rs. In mill)




Profit after tax is consider as depended variable and Paid up capital, Equity, Sales, Total Asset, No. of Share and (Bank) / Financial charges are explanatory variables and by the backward method we observed that Profit after tax is best described by Paid up capital, Sales, Total assets, No. of share and (Bank) / Financial charges.

Model can be written as:
PAT = β1 + β2 Paid up capital + β3 No. of share + β4 Total assets + β5 Bank/Financial charges + β6 Sales
PAT = 11.597 + -0.771 Paid up capital + 5.573 No. of share + -0.45 Total assets + 17.219 Financial charges + 0.384 Sales

Model
Non-standardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
81.182
68.177

1.191
.235
Paid-up capital (Rs. In mill
-.160
.768
-.036
-.208
.835
No. of Share (Rs. In mill)
.317
7.323
.007
.043
.965
Equity (Mill)(Rs. In mill)
.228
.074
.309
3.097
.002
Total assets (Rs. In mill)
.222
.030
.621
7.403
.000
Banks/Financial charges (Rs. In mill)
-13.066
5.473
-.130
-2.387
.018
2
(Constant)
81.859
66.231

1.236
.218
Paid-up capital (Rs. In mill
-.128
.230
-.029
-.558
.578
Equity (Mill)(Rs. In mill)
.229
.073
.310
3.127
.002
Total assets (Rs. In mill)
.222
.030
.621
7.445
.000
Banks/Financial charges (Rs. In mill)
-13.091
5.430
-.131
-2.411
.017
3
(Constant)
65.460
59.261

1.105
.270
Equity (Mill)(Rs. In mill)
.219
.071
.296
3.088
.002
Total assets (Rs. In mill)
.218
.029
.609
7.563
.000
Banks/Financial charges (Rs. In mill)
-12.090
5.117
-.121
-2.363
.019

We have depended variable Sales and Paid up capital, Equity, No. of share, Total assets and Bank / Financial charges are consider as independent variables again backward method is applied and it indicates that Equity , Total assets and Bank / Financial charges is best describe in the total sales.

Model can be written as:β
Sales = β1 + β2 Equity + β3 Total assets + β4 (Bank) / Financial charges
Sales = 65.460 + 0.219 Equity + 0.218 Total assets + (-12.090) Bank / Financial charges
Conclusion:
This study provides an overview about financial changes in Insurance sector of Pakistan since 2001-2010. From results of this study we conclude that paid-up-capital and no. of shares both were consistent in 2007, equity and total assets both were consistent in 2004, sales showing consistency in year 2010, profit before tax was consistence in 2004 while profit after tax is showing consistency in 2001.
On the other hands by finding hypothesis of profit after tax, LSD tell us that that (I)year 2003 and (J)year 2008 have significant value greater than 0.05, thus we reject our null hypothesis(Ho:  μ2001= μ2002= μ2003= μ2004= μ2005= μ2006= μ2007= μ2008= μ2009= μ2010) and accept alternative hypothesis (H1: At least one mean is significantly different).

References:

1.      Feldstein, Paul J. and Wickizer, Thomas M. (1998), Analysis of Private Health Insurance Premium Growth Rates: 1985-1992. Medical Care, Vol. 33, No. 10 (Oct., 1995), pp. 1035-1050.
2.      Saied, Khawaja Amjad (2007), a Review of Insurance Sector and HRM/HRD Aspects. Website: www.kamjadsaeed.edu.pk
3.      Cull, Robert . , Senbet,  Lemma W. and Sorge,Marco.  (2005), Deposit Insurance and Financial Development, Vol. 37, No. 1, pp. 43-82.
4.      Menon,  Krishnagopal and Williams, David D. (1994), The Insurance Hypothesis and Market Prices, Vol. 69, No. 2, pp. 327-342.
5.       Gruber , Jonathan . (2001), The Impact of the Tax System on Health Insurance Coverage, Vol. 1, No. 3/4, pp. 293-304.
6.      Insurance article, http://www.investorwords.com/2510/insurance.html
7.       Insurance fact sheet, June, 2008. www.fido.gov.au/yourmoneystarter
8.      Regulation of Insurance, www.secp.gov.pk/annualreport/2000/regulationInsurance.pdf
9.      Financial data, http://www.kse.com.pk/
10.  Herring , Bradley and Pauly, Mark V. (2001), Premium Variation in the Individual Health Insurance Market, Vol. 1, No. 1, pp. 43-58