Tuesday, January 22, 2019
Impact of Terrorism on Financial Markets of Pakistan Essay
Since the emergence of 9/11 event in U.S.A., the world has witnessed signifi discountt maturation in solicitudeist activities. Pakistan unfortunately has been the intimately endangered to the paradigm shift of flagellumism. Its pic is in the main subjected to its geographical location. nary(prenominal)stop t defectist activities toppled both e rattling dictate the boorishs semipolitical, social and economic organize. Now the life of a prevalent citizen is at risk. State of infrastructure has become deplor fit owe to the series of alarmist activities. Resultantly economic employment reduced manifold. Being a frontline responsibility on war on t mistake the loss of Pakistans sparing was a natural consequence. Pakistans sparing was unnatural almost at al unmatched economic fronts which comp gussy ups of external, industrial, agricultural, business and services sector, etc. The continued rise in the terrorist activities likewise affected the pledge of unknown inv estors which ca utilise the stoppage of FDI, whateverhow withdrawal of the portfolio investing. The pertain of terrorism was e very(prenominal)placely felt in all the atomic number 18as of the economy with varying class and intensity.The most prominent aras included tourism, hotelling, manufacturing, bungalow manufacture, transportation, trade, etc. These industries form reinforcing military force on each different. Factors such(prenominal)(prenominal) as heavy influx of Afghan immigrants, particularly Taliban porous Pak-Afghan border political instability external conspiracies, demographic weaknesses and its geographical attr agileness deplete accentuated the motion of terrorist act in Pakistan. All these factors coincided with global war on terror stick deterio charge per unitd Pakistans economic situation as a whole. pecuniary commercialises, which be the nucleus of some(prenominal) economic system, be also supposed to be affected overdue to terrorist a ctivities. In the aftermath of the terror attacks of 11 folk 2001 in New York and 11 March 2004 investors confidence deterio regulated beyond provinceal boundaries because of contagion do (Johnston and Nedelescu, 2006). Under the current twine of terrorism in Pakistan, particularly the lineage securities industry, forex market and money markets argon affected the most.These markets are grittyly important as most of the indemnity tints are transmitted through these markets. Therefore, any disruption in the quiet working of these markets whitethorn affect the achievement of boilers suit economic forwardness set by the government. Especially the sway market, which is considered to be the barometer of economic health of a province, appeared to father been affected by the rise in extremism or terrorism in recent clippings. The negative shock of the market to existenceize in such activities is reflected by the selling of bonds of the tar corrobo score firms, that the magnitude and consistency of the negativity stirred in the market and of the twi percipient over rears is questionable (Karolyi, 2006). Similarly, the forex market which is also obviously affected by the uncertainty prevailing in the economic environment bears indecent effects of the related events. As regard the banking sector of Pakistan, it is also form to be inflicted due to the aftermath of the terrorist activities.The size and distri furtherion of the effect of these activities would forecast on the myriad of factors such as nature of terrorist attack, target of the attack, the multiplier effect, insurance policy response and the resilience of the fiscal market (Bruck and Wickstrom, 2004). Besides Lal masjid operation, the hall mark of the terrorist activities over the ideal achievement is loss of screennationally known Pakistani Political personality i.e. Benazir Bhutto. later the assassination of the state Pakistans banking sector faced substantial losses due to violate to the infrastructure and robberies of the bank.Downfall of any of the pecuniary market associated with a terrorist activity reduces the incentive to spend as opposed to save, a process that can spread through the economy and the rest of the world through normal business cycle and trade channels (Johnston and Nedelescu, 2006). Keeping in put one across the significance of monetary market for Pakistans economy, the quantification of the encounter of terrorists activities on pecuniary market becomes an interesting area of re inquisition work. Especially, this requires empirical quantification of the stupor of miscellaneous kinds of terrorist activities that either occurred in make out business centers or happened in the farthest flung areas.II. Literature ReviewWe find very limited literature on the subject issue. Although a few studies are ensnare to be discussing the boilers suit consequences of terrorism on world economies, we do non find often evidence ab disc over the quantification of the strike of terrorist activities on monetary markets using such graduate(prenominal) frequency information and with special speech to Pakistan. For the benefit of readers, the re appreciatement of about of the relevant studies has been made which is minded(p) as under After the eruption of terrorism in Spain in the 1970s, Abadie and Gardeazabal (2001) discovered the fact that thither was ten percent declension in the per capita GDP of the Basque region as opposed to a synthetic control region. They also found turn out that this difference widened due to the rise in the terrorist activities. Chen and Siems (2004) pri contactd the degree to which the U.S. bank line market reacted to fourteen extremist acts in the past ni concludingy days by using the event check methodo recordy. They also tried to assess the advert of the September 11 attacks and the raid on Kuwait by Iraq on the nisus markets of dissimilar nations of the world.They found certain proof of flexibleness in the fact that the encounter with such extremists lead to a falling off in the market reaction. Moreover, they came to know that the mend of the September 11 incidence and the Iraqi raid were more unfavorable and harmful on the banal markets of nations around the world as opposed to the U.S. stock markets. The consider by Johnston, et al. (2005) attempted to explore the impact of terrorism on financial markets. They found that how financial markets react to divergent shocks stemming from terrorist attacks. By making use of the entropy on financial markets such as the government securities market, the repo market, the insurance industry and the capital market of U.S, the test analyzed the reaction of the financial markets to the September 11 2001 terrorist attacks in the New York, and March 11, 2004 attacks in Madrid.They concluded that disposed the accu set eonly response of the authorities and rogue disaster management, the financial market s of U.S and Spain respectively were attributed with diversity and resilience to plunk the shocks of terrorist attacks. Both the central banks withdraw with the sense of responsibility of the lender of the tolerate resort also came to surrender their respective financial systems in the aftermath of these acts of terrorism. In addition, the globalization trends also incepted the cross border cooperation among the central banks which mitigated the diffusion of contagion effects through the chain process of business cycle. Barth, and et al (2006) used control board selective information on terrorism and employed some of the control proteans which be the negative, depressing and unfavorable cast of terrorism on economic progress. In broad-spectrum, these extremists occurrences and events piss a substantial destructive impact on the economy of a country and thus render a wear and tear and deterioration of the economy.Their outcome also sheds some light on the fact that the d rift of such attacks also makes a difference. Extremists attacks enjoin at places and properties other than that of universe reserve an unconstructive link commonly with teaching and capital structure and generation. Gulley and Jahangir (2006) used the statistical entropy available for the stock, bond and unusual commute rate and stock market from 1968 to July 2005, for a group of countries i.e Australia, Canada, France, Ger galore(postnominal), Italy, Japan, UK and the US. Data on terrorist attacks has been collected from The National Memorial Institute for Prevention of Terrorism (MIPT) for scarce the same time period characterizing the date, time, location, type and target of the attack. Since the data is spunky frequency data, they have employed Generalised Autoregressive Conditional Heteroscadastisity (GARCH) Model to con the impact of terror attacks on the return ( direct) and unpredictability of the financial markets of the illustration area, magic spell their t heoretical model is based on asset price model. Their imports are well col ramated with the perceived seemations and the theory.They found negative returns with increasing terrorist activities for the stock market, go for the bond market lower yields were observed. Terrorist attacks had not been found associated with redundant volatility in stock market in the addicted set of countries under observation. Liquidity of the foreign deputise market is substantively high than other markets. Abadie and Gardeazabal (2007) attempt to measure the impact of terrorism on the foreign direct investment in an open economy. They made use of the data set on net stock of FDI fixed from the UNCTAD (United Nation Conference on Trade and Development) for 98 countries and GTI (Global Terrorism might) for meter data on terror activities which have the carbonEuropean daybook of Social Sciences slew 18, event 1 (2010) advantage over other measures by being popular among the transnational investors who use it to evaluate specific countrys risk. During their throwback analysis, keeping the other types of risks constant, it was concluded that thin changes in terror activities have the potential to bring big change in the allocation of the tillable resources across the countries, keeping the international economy sufficiently open. They have statistically proved that wit the increasing standard deviation of the terror attacks, the net FDI shrinks by 5 percent of GDP. Melnick and Eldor (2007) used discounted-cash-flow valuation model in order to calculate the media video created due to such terrorist acts and also for the judgement of costs in term of the foregone alternatives of the liberated and unbound media exposure provoked by such extremists acts and their impact on the single stock market functioning in Israel, Tel Aviv Stock vary, to measure the influence on the economy.They reached to the conclusion that at that place a statistic importance and significa nce of the fortune cost unsettled and that it provides a role as an adequate power including the whole content required to portray the impact of militant acts on the stock market. The outcome clearly shows the converse relationship between the degree of media exposure and the deterioration in the evaluate of stocks. However, it was also found that not any of the elements a uprising out of terrorism are statistically substantial and profound after the insertion of the opportunity cost variable in the compare. Berrebi and Klor (2008) took the s adeninele of 125 Israeli self-denial and security companies that are traded in American markets and a number of American companies as controls for Israeli companies. The data on terror attacks, collected from Israeli foreign ministry, was based on periodic terror attacks and noncombatant fatalities arising from them.They made use of the event check methods in order to measure and assess the positive impact of terrorism on the return of the stocks of the s ample companies relative to those of control group. It was empirically found that Israeli defense related companies experienced comparatively lowered (negative) abnormal returns than those of American controls during the prototypic part of the period under analysis i.e. in advance Palestinian uprising (January 1st, 1998 September 28th, 2000). They had also been successful in proving that average additive difference in abnormal returns (CDRAR) of the defense related companies exhibit downwardly slope before the Palestinian uprising where as the trends reverses abruptly during the aid part of period under analysis (second Palestinian uprising).During the second uprising, the defense realted companies gained around 70 percentage points while the non defense companies lost over 60 percentage points. Out of the myriad of research problems pertaining to this area of interest, quantification of the terrorist activities and measuring its impact on the fluctuation of respective(a) economic variables is imperative owe to the possibility of plausible relationships between two variables which may result in biased empirical results (Berrebi and Klor, 2008). In this paper, this problem has been tried to sought out by using Durban Watson statistics in order to check the variables for autocorrelation issue.This study is different in several aspects from the existing studies which were conducted on the subject matter. Some of the distinguishing features are given as under It uses periodic data on all the financial markets and the terrorist activities. Earlier studies present on this topic have examined the financial markets on a much lower frequency data. This study is first of its kind with reference to Pakistan. No research has been done in Pakistan before on the same lines. Different aspects of terrorism have been incorporated in this study in terms of the kind of terrorist activity, its intensity, the location of incidence and the target. The study examines the effect of each kind of terrorist activity on stock, forex and money markets separately.III. look into MethodologyData Description The study uses time series data for this piece of research work. It uses high frequency data, which is a daily data, over a period of two and a half years (i.e. from thirty-first December 2005 to 30th June 2008). The 101 European Journal of Social Sciences Volume 18, fleck 1 (2010) data has been collected from different resources. Secondary data has been used for third financial markets separately, i.e. banking market which represents the money market while stock market (KARACHI STOCK EXCHANGE) and the FOREX market represent the capital market. The data on the KSE indication has been taken from the KSE website. The data on the foreign exchange (i.e. rupee dollar parity) has been acquired from the fiscal Policy Department of the State posit of Pakistan. The data on KIBOR (Karachi Inter swan Offer count) has also been obtaine d from internal commercialises & Monetary Management Department (DMMD), State Bank of Pakistan.The most cumbersome process of the primary data collection has been the collection of terrorists activities on daily basis. Daily information on these activities has been collected from various intelligence activity papers including The Daily Dawn. Since various kinds of terrorists activities were found in the word of honor papers, an attempt was made to choose the most relevant activities which has some impact on the working of financial market. While finding out the impact of terrorists activities on the financial markets of Pakistan we categorize the terrorists activities into four distinct poop variables. The terrorists activities have been grouped together in four different categories naming D1, D2, D3 & D4. Each activity has been assigned a particular group fit to its intensity. A brief discussion of dummy variables used in the study is given as under D1 is equal to 1 fo r the kind of terrorists activities which have targeted the learn personnel (political or otherwise) of the country and 0 for not occurrent of such event. D2 is equal to 1 for the calamitys of the terrorists activities in the cities that are financially active or are the economic centers of the country and 0 for not happening of such events. D3 is equal to 1 for occurrence of study(ip) activities but in the non financial cities, Whereas D4 equals 1 for minor terrorists events taking place in low-down cities and 0 for not happening of such events. DST is equal to 1 in sequel of any morphological change that has taken place during the period under study, otherwise it is equal to 0. Though most of the activities placed in D4 are not minor in terms of cost of homophile lives and infrastructure of the cities, but may be because of the peaking magnitude of the terrorism in the country for the past two and a half years or so, we as a nation, has become so much resilient to suc h attacks that loss of lives of normal citizens or human beings or blowing up of countrys resources does not mean much loss to us, neither in moral sense nor in financial terms.Analytical Techniques For the esteem of results, E-views, which is time series econometric software, has been extensively used. For the utilization of analysis, the model used is octuple REGRESSION MODEL. This model not only tells us the issue of the impact of terrorists activities on the individual financial markets but it also tells us the direction of the relationship between the regressors and the regressands. In this study the regressand are KSEI, FOREX rate and KIBOR while the four categories of terrorist activities are regressors. The study asseses the impact of terrorist activities on these three market. The functional form of the model would be as follows (1) FM = f (Di) Where FM indicates any type of the in a higher place mentioned financial market. Di indicates dummy variable capturing the imp act of any type of the terrorist activity which affects the financial markets in Pakistan. To assess the impact, the functional form of the equality no. 1 is converted into mathematical equation, which is as follows FM = + Di (2) Where FM = any financial market in operation(p) in Pakistan e.g. = intercept = parameter to be estimated or coefficient. Di = dummy variables ranging from D1 to D4. WhileD1, D2, D3 and D4 are already explained. For KIBOR analysis, the study uses an additional dummy variable namely DST. It denotes any structural changes occurring in the economy which has imminent impact on the inter bank market.Since the dependent variable (financial markets) is also affected by many other variables which are called stochastic or error terms, so we take away to convert the equation no. (2) into an econometric equation, which is represented as follows FM = + Di + ei (3) Where ei is an error term. Since the dynamics of each kind of financial markets are a bit different . We need to estimate the results separately using a different equation for estimation purpose. These are given below i. Stock Market Since KSE is the most active or most efficient of all the financial markets in Pakistan, we analyze the impact of four dummy variables on KSE speed of light index first. In order to particularly analyze the growth of KSE Index we convert the daily determine of KSE snow Index into their log values. As the stock market show significant volatility over the last few years, we take natural log of the equation no. (2) for smoothening of the KSE Index. KSEI = + Di + ei (4) pickings natural log on the left hand side we get Ln(KSEI) = + Di + ei (5) This is the final equation which can now be used for estimation of the impact analysis of terrorist activities on KSE.The equation reads as the natural log of Karachi Stock Exchange 100 Index is a function of the Di viz D1, D2, D3 and D4 representing various forms and intensity levels of terrorist activities. A fter regressing all the dummy variables (D1 to D4) separately on the LnKSEI, we see adverse effect of D1, D2 and D4 on the LnKSEI. It is important to note that the individual effect of D1 and D2 seemed suppressed. So in order to enhance the collective effect of D1 and D2 we combine both the variables and name it as D1. So that the terrorists activities targeting key personnel and major financial areas are singularly termed as major events (grouped in D1) while D3 and D4 remain the same. By applying OLS regression technique, we estimate the following equation(6) Ln(KSEI) = a + D1 + D4 + ei Where Ln(KSEI) = natural log Karachi Stock Exchange Index. D1 = terrorists activities targeting key personnel and major financial cities.D4 = minor activities in small cities. , , = parameters to be estimated. ei = stochastic/ error/ rest term. ii. FOREX Market Foreign exchange market of a nation is the arena where countrys up-to-dateness is traded for other currencies. The daily buy and selling of a currency determines the daily average rate of a currency. The trading takes place in internal and international market simultaneously and hence the equilibrium point of the demand and supply of a currency determines the daily average FOREX rate. The rate can be unflinching in terms of any foreign currency. The exchange of currency typically takes place via brokers, but overall many institutions like commercial banks, investment banks, securities firm houses, clearance houses, foreign exchange markets on the whole and individuals are problematical in the process. FOREX market is the biggest financial market of the world but with reference to Pakistan it stands second. Since foreign exchange rate can be expressed in two ways, i.e i. Direct quotation ii. Indirect quotation. In this study we have used the direct quotation of the Pak rupee (PKR). We take the exchange rate of PKR in terms of U.S buck and express the exchange rate as I/PKR (direct quotation).Taking its natura l log reduces the volatility of the exchange rate. In our analysis we are required to determine the impact of terrorists activities on the Exchange outrank stability or to critically see how much of the underlined activities devaluate the domestic currency in terms of the foreign currency (U.S. Dollar). We have derived the following equation Ln (ER) = + Di + ei (7) Where ER = exchange rate. While for analysis purpose we use the following equation. (8) Ln (ER) = + 1(D1) + 2(D2) + (D4) + ei where Ln (ER) = natural log of exchange rate D1 = terrorists activities targeting the key personalities D2 = terrorists activities taking place in the major financial cities D4 = minor terror events in small cities. , , = parameters to be estimated ei = residual/ error term. It is clear from equation (8) that ER is influenced by the terrorist activities grouped in D1, and D2. For the empirical findings, we regress the given econometric equation by applying OLS technique. iii. KIBOR Karachi Int er Bank Offer Rate (KIBOR) is the average of daily offer rates of commercial banks.It is the average daily rate on which a bank offers short term loans to other commercial banks. In other words, KIBOR is a yardstick to measure the force of banking industry of a country to accommodate short term loans and funds. The underlined activities may also affect KIBOR rates. Interbank rate is the relative indicator of procedure and aptitude of banking industry since it indicates the borrowing ability of the commercial banks. Econometric equation for KIBOR is given as KIBOR = + Di + ei (9) To find out the empirical results of impact of terrorism on banking industry (KIBOR) weestimate the following econometric equation by OLS technique. KIBOR = + D1 + DST + ei (10) Where KIBOR = Karachi Inter Bank Offer Rate D1 = major terrorists activities targeting key personalities. DST = dummy variable for structural changes. , , = parameters to be estimated ei = stochastic/error/residual term.IV. Emp irical FindingsAs already explained, we separately estimate the impact of terrorists activities on three types of financial markets mainly due to having different dynamics and sensitivity of events. The final impact analysis is given as under i. KSEI Using equation no. (6) we obtain the impact of underlining activities on KSE market. 104European Journal of Social Sciences Volume 18, tally 1 (2010) It is apparent from the results that the value of R2 is 0.98 or 98% which sum that our model is best fitted. It implies that 98% of variations in the dependant variable (LnKSEI) are explained by the independent variable. Durbin Watson Statistics is equal to 1.96, which is closer to 2, shows that the regression model is not locomote with the problem of autocorrelation. Standard error of the model is also reasonably small (0.016336) which is prudent for increasing the calculated value of t-statistics, thus we reject invalid hypothesis (i.e. Ho & = 0). F-statistics is 14379.05, whi ch is comparatively very high indicating the overall significance/fitness of the model. C or is actually the intercept which is the weight average of all the ignored variables that might affect the KSE index. Its value is 9.441305 which are significant at 1 % level of significance ( passing significant).This indicates that KSEI is affected by variety of events not included in this analysis due to time constraint factor. Most probably the factors like capital taxes on lolly of stocks, capital inflows, and future strategies of companies registered at stock market, external shocks might be included in the test. Similarly, the terrorist activities also adversely affect KSE. Particularly, the value of D1 dummy variable ( = -0.005021 at 2% level of significance) indicates that 1 percent increase in relevant terrorists activities might negatively affect KSE 100 Index by 0.5 percent. It representation that the terrorists activities occurring in major financial hubs and those targeting ke y personalities of the country negatively and significantly impacts the performance of the KSE. To put it the other way round, KSE 100 Index might decline when any such terrorist activity occurs in the region. In the same way, the dummy variable D4 has also affected the KSE 100 Index negatively. It indicates that minor terrorist attacks occurring in small cities do not impact the KSE 100 Index significantly, although the impact in negative.Here, the estimated negative value of (-0.000137) means to support the argument that small terrorist activities have negative impact on KSE. More appropriately, the said terrorist activities grouped in D4 combined with other residual factors also affect the functioning of the KSEI negatively. The impact of such activities on KSE performance may become significant because of the important paradigm shift in policy measures. Policies of the government or other concerned institutions are greatly affected by the magnitude of terrorism in a region. gr eat the magnitude of the terrorist activities, great would be the uncertainty in economic environment, and consequently greater would be the rate of change of policy measures. Since Karachi provides the centre of financial activities to the country and Karachi Stock Exchange is the biggest stock market of the country, so the vulnerability of the city to the terrorism is most likely to create volatility of the runniness in the economy. Greater the occurrence of terrorist activities in the city, greater would be the likelihood of adverse effect on the financial markets, particularly KSE.Consequently the result would be the higher outflow of capital, lower investments, lesser exports and depletion of foreign reserves. ii. FOREX Rate Using the equation no.(8) the results of the impact of terrorist activities on FOREX market has been estimated by OLS technique. fit to the results obtained, the value of the R2 is 0.99 or 99%, which implies that 99% of the variations in dependant varia ble (ER) are explained by the variations in explanatory variables. The value of R2 is pretty high indicating that the model is a best fit. Durbin Watson statistics is equal to 2 showing that there is no issue of autocorrelation in the regression model. The F- statistics value is also very high and significant showing the overall significance of the model. Standard error of the regression is very low, making t- statistics pretty high.The intercept term, C or is -4.078457 which is quite significant indicating that the ignored variables caused depreciation of Pak rupee against U.S. Dollar. As regards the impact of dummy variable D1, it is negative but unimportant. So we are able to interpret that the terrorist activities named as D1 do adversely affect the exchange rate of PKR but the impact is not at all significant. Similarly, the coefficient of D2 is also very small which indicates that the response of the FOREX market to underlying activities is almost negligible. It determines t hat D2 activities have a negative and unnoticeable impact on the determination of FOREX rate. The impact of D4 activities on FOREX is interpreted in the same way as that of D1 and D2.European Journal of Social Sciences Volume 18, Number 1 (2010) From all of the above coefficient values we can infer a negative relationship between the terrorism and the FOREX rate. The negative sign indicates that any such happening is responsible for the depreciation of the domestic currency in terms of the foreign currency (U.S. Dollar in the present showcase). Though this impact is not significantly conspicuous with reference to Pakistan but there might be several executable explanations for this suppressed relationship. From Pakistans standpoint the impact might be insignificant because of high resilience of the financial markets here. From the daily data of the terrorist activities it is evident that these events have been taking place at a very high frequency over the sample period.The magn itude of these activities ranges from mild offensive happenings to very high terror attempts that scare off the whole humanity. In this scenario, it is likely to expect the convergence of financial markets. The impact has to be adverse because such happenings produces uncertainty in the economic environment, increases the risks and liquidity shortage, reduces exports, depreciates currency, lowers the domestic and foreign investments and thus unquestionably there is a flight of capital from economy. But in case of Pakistan, high frequency of such events might be responsible for the snappy blooded attitude of nation as a whole and these events may seem a routine happening to the people involved in currency trading or in any other financial market. It is because of this reason that the variation in depreciation of PKR is very less as compared to the perceived expectations. So we can safely say, terrorism does not intimate its impact on foreign exchange market of Pakistan, unless the event is highly adverse or of global attention like that of assassination of the origin prime minister of Pakistan, Benazir Bhutto.iii. KIBOR By using OLS technique on equation no.(10) we get the following results on impact of terrorist activities on the money market or interbank market (KIBOR). The results showed us that the value of R2 is 0.98 or 98% which means that it is a best fitted model. 98% of the variations in the dependant variable, KIBOR, are determined by the variations in the explanatory (independent) variable. The estimated value of Durbin Watson Statistics is 1.95 which is used to indicate that the results are not ploughed with the menace of autocorrelation problem. This reflects the accuracy of results, as it can be used in the policy formulation process concerning the KIBOR. Standard Errors are very small which means higher values of t-statistics. Values of F-statistics are again very high i.e. 15109.34 showing the overall significance of the model. The value of intercept, C or is 8.474 is high, which is significant at 1% level of significance.It is significative of the fact that other factors are more likely to be responsible for the increase in the bank rate. The value of the coefficient of D1 i.e 1 is 0.001382. The terrorist activities grouped in D1 do affect the KIBOR positively but insignificantly. Positive sign indicates that greater the occurrence of the activities, higher get out be the interbank rate. The coefficient of D2 is also positive (highly significant at 1 % level of significance). It indicates that factors other than terrorist activities play a key role in bringing about changes in the KIBOR rate. The impact of terrorist activities on KIBOR is widespread as compared to that of stock market (KSE). It is because of the fact that we find a bank branch network throughout the country, while KSE is confined to one city only. So the likelihood of the affect of terrorism increases on banking industry. The change magnitude impa ct can be seen in the shape of the KIBOR rate.V. Conclusions and RecommendationsThis study was in the beginning aimed at estimating the impact of various kinds of terrorist activities on the three financial markets viz Karachi stock market, Foreign exchange market and the money market. The findings of the OLS regression model alter us to conclude The economy of Pakistan has been adversely affected by the on-going terrorist activities. The terrorists activities in Pakistan have adversely and significantly affected the performance of KSE. Further, the KSE has been comparatively more affected by the terrorist events compared to the other markets. This might be due to its vary nature as KSEI is relatively more splendid to events rather than economic fundamentals. The terrorist activities have insignificant but adverse effect on FOREX market. One reason behind the insignificant impact of terrorist activities on FOREX rates might be the inter bank data used in the analysis. As t he SBP continue to interfere in the FOREX market, therefore, any volatility arising due to such events might be subdued due to SBP proactive intervention. The impact on KIBOR rate although negative but estimated to be insignificant is a very positive development as KIBOR rate is considered as an indicator of short term loans extended by banks.In case of significant adverse impact of terrorist activities on KIBOR, it may affect investment plans of the country, which might have been negative hint for Pakistans economy. Most of the findings of this study are consistence with the theoretical expectations. The result estimates for the KSE 100 Index and KIBOR rate are per expectations. The econometric results for the second regression are although correctly directed but not consistent with the theory to extent as expected. The rising magnitude of terrorism in a country definitely adversely affects the economy in general and financial markets in particular. Last but not the least, targets of the terrorist activities play an important role in determining the impact on financial markets. There might be many shortcomings in the study which mainly accounts to the time constraints. light of the present study some policy recommendations could be made, following are some of In the light of the study, its empirical findings and conclusions the government and the state ought to work on the institutional development on account of terrorism.Anti terrorism policy framework of international concern shall be formulated, enhanced and made available to the general public under this institution. Masses be given advanced warnings before occurring of any such event and rehabilitation be an important immediate gradation after the event has happened. Besides the well being of the general masses, in force(p) contingency planning to mitigate the financial risk faced by the financial firms and the over all economy has to form a major constituent of the anti terrorism policy making insti tution. Since the adverse impact of terrorism on the financial markets has been econometrically proved in this study, economic policy should form an eminent part of the anti terrorism policy making. strong measures shall be devised to counter the wave of disruption created in any of the above mentioned financial markets. With the continuous attacks of terror on the economy, as in Pakistan, the major domestic and international investors draw their money out of the financial markets.There is a flight of capital out of the economy which is a major set back to the domestic currency. To mitigate the risk of depreciation of the currency, policies regarding increasing the money supply and lowering the interest rates in order to perk up investors confidence and to keep the foreign reserves build up shall be enacted. Policy has to be organise to strengthen the financial structure of the economy and increase its resilience to absorb the shocks to the maximum limit. Opportunities to the dome stic manufacturers shall be accentuated to increase exports and thus demand of domestic currency. This is an important measure to avoid the depreciation of currency and also it will make the trade deficit unlikely to occur. This is an important policy implication for the money market. Investment in research and development and innovative security measures is also need of the day.European Journal of Social Sciences Volume 18, Number 1 (2010) Lastly, policies should be made and extended on the global level to increase the cooperation and coordination among the major stake holders in the global financial markets. Policies regarding clement relationships among the central banks of international importance shall also be encouraged so as to extend financial help during the crucial financial jam after any enormous act of terrorism. Based on the results findings, the study mainly recommends that the concerned policy makers must take into account the impact of terrorist activities while f ormulating policies for the three kinds of financial markets. However, the impact of terrorist activities varies on each market in terms of its intensity, place of occurrence etc. References1 2 3 4 5 6 7 Abadie, A. and Gardeazabal, J. (2001). The Economic cost of contradict A Case-Control Study for the Basque Country. Research Working Paper No. 01/048. Harvard University. Faculty Research Working Paper Series. Retrieved from http//papers.ssrn.com/abstract=293120 Abadie, A. and Gardeazabal, J. (2007). Terrorism and the human race Economy. Available at http//www.hks.harvard.edu/fs/aabadie/twe.pdf Barth, J.R., Li, T., McCarthy, D. (2006). Economic Impacts of Global Terrorism From Munich to Bali. Capital studies, Milken Institute. Berrebi, C. and Klor, E. F. (2008). The impact of terrorism on defense industry. Working paper No. 597. RAND labor and population working paper series. Retrieved from http//papers.ssrn.com/sol3/papers.cfm?abstract_id=729006 Bruck, T. and Wickstrom, B. A. (20 04). The economic consequences of terror A instruct Survey. HiCN Working paper 03. Paper presented at Household in Conflict Network, University of Sussex, April 2004. Chen, A. H. and Siems T. F. (2004). Effects of terrorism on global capital markets. European journal of political economy. Vol. 20, pp 349-346. Chesney, M., Reshetar, G. and Karaman, M. (2010). The Impact of Terrorism on Financial Markets An Empirical Study. Retrieved from http//www.google.com.pk/search?hl=en&q=The+Impact+of+Terrorism+on+Financial+Market s+An+Empirical+Study&btnG=Search&aq=f&aqi Gujrati, D. N. (2004). Basic Econometrics. United States Military Academy, West Point, Mc Graw Hill Publications. Gulley, O. D. and Sultan, J. (2006). Risk Premium Volatility, and Terrorism New Evidence. Milken Institute. Gupta, S., Clements, B., Bhattacharya, R., and Chakravarti, S. (2002). Fiscal Consequences of Armend Forces and Terrorism in Low and Middle-Income Countries. IMF Working Paper No 02/142. Internati onal Monetary Fund ,Fiscal Affair Department. Glaeser, E. L. and Shapiro, J. M. (2001). Cities And Warfare The Impact Of Terrorism On urban Form. NBER Working Paper No 8696. National Bureau of Economic Research. Jalalzai, M. K. (2002). The consecrate Terror -Islam, Violence and
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment