Study on the Dynamic Impact Effect of Unconventional Emergencies on Stock and Bo

Abstract

The research of the impact of unconventional emergency on the stock market and bond market is one of the important concern of academia. This paper uses the VAR model to do the empirical analysis on the dynamic impact effect of unconventional emergencies on Chinese stock market， Treasury bond market and enterprise bond market. The empirical results show that it had a significant impact on the stock market， Treasury bond market and enterprise bond market when unconventional emergencies happened. On this basis， this paper constructs the impulse response functions of the impact of unconventional emergency on the stock market， Treasury bond market and enterprise bond market. Impulse response function display that the impact of unconventional emergencies on the stock market， treasury bond market and enterprise bond market is a dynamic process.

Key words： Unconventional emergencies； Stock market； Bond market； VAR model； Impulse response function

INTRODUCTION

In recent years， unconventional emergencies occur frequently. They have a huge impact on financial markets when unconventional emergencies hanpen. Due to the impact of the unconventional emergencies， the volatility and risk in financial markets are increasing. Compared with other events， unconventional emergencies have more obvious and longer-time impact of unconventional emergencies on stock market and bond market. The research of the dynamic impact effect of unconventional emergencies on stock market and bond market is conducive to intuitively reflect the impact process of unconventional emergencies on stock market and bond market， reveal the risk transmission path of unconventional emergency， and raise investors’ risk awareness.

1. LITERATURE REVIEW

The research results of scholars in China and abroad on the impact of unconventional emergencies on the financial market on are relatively rich. In the research of foreign scholars， by using the multivariate regression model method， Carter and Simkins （2004） tested the effect of“9.11 incident” on the airline stocks. The test results show that the reaction of all airlines stocks is not the same. After the “9.11 event”， the Air Transport Security System Stability Bill is good for the larger airlines. The research of Cashell and Labonte （2005） display that the hurricane caused severe damage to oil facilities in the southern region and the gulf of Mexico， decrease in the supply of oil market， cause psychological trauma to the people of the United States， bring pessimistic expectations on the economy， and lead to international oil market volatility. Straetmans et al （2008） referenced extreme value analysis method to assess whether the “9.11” event significantly changed tail risks of U.S. industry stock index or not. Using the time when “9.11” incident occurred as a midpoint， the results found that， after the “9.11” incident， tail β significantly increased. Kaplanski and Levy （2010） examined the aviation disaster impact on stock prices， and found that each airline disaster loss to the company was more than $6 billion. This led to a significant negative impact on company’s stock. At the same time， the impact of the aviation disaster on small firms and higher risk stock is bigger. In the research methods of unconventional emergency， event study is a kind of commonly used methods. Brounen and Derwall （2010） used the event study to study the impact of “9.11 event” on the stock market index of major countries in the world such as The United States， Britain， Spain， Japan and Egypt. The results showed that the terrorist attacks had a negative and strong impact on the price， but rapidly return to normal levels. Using the event study， Festl et al （2012） examined impact of Japan’s Fukushima nuclear plant accident on stock prices of nuclear power and alternative energy companies in Germany， France， Japan and the United States. The results show that the Japanese nuclear power companies’ stock price had significant abnormal returns in a week’s time window and the next four weeks after the event window. German and French nuclear power and alternative energy company stock prices had significant abnormal returns during the event window.

The scholars in China also did in-depth study on the impact of unconventional emergencies on financial markets and made some beneficial research results. Wu Qifang （2003） used the event study to analyze the SARS event’s impact on China’s securities investment funds. The analysis results showed that the impact of SARS event on closed-end funds and open-end funds is limited and short-lived， and no statistically significant. Zhang Xun， et al （2009） used structural breakpoints inspection and standard events analysis method， and studied the impact of the Iranian revolution， the gulf war and the Iraq war and other events on oil prices. The research results showed that the three incidents significantly affected the price of crude oil， and impact patterns on oil prices met crisis model. Xu Chenghong et al （2010） examined the impact of Wenchuan earthquake on real estate market. Test results showed that when the cost of self protection could be expected， individual risk preference did not play a major role in the purchase decision. When the cost of self protection could not be expected， the risk preference of different populations would emerge. Liu Qingfu et al（2011） used the event study to analyze the impact effect of Wenchuan earthquake on China’s stock market. They found that the impact of Wenchuan earthquake on the return and risk of various industries were different and significant. The impact effect of earthquake on the stock market increased. Shan Liwei （2011） also analyzed the impact of the Wenchuan earthquake on China’s capital market. The results showed that the closer the company to the epicenter， the lower the return of the stock. The Wenchuan earthquake’s impact on the capital market cannot be explained by the actual economic loss caused by the earthquake. The Wenchuan earthquake’s impact on capital market is mainly through the negative sentiment of investors. Ma Ji （2011） and He Qiang （2011） analyzed Japan’s Fukushima earthquake’s impact on international financial markets， and emphatically analyzed the impact of Fukushima earthquake on the stock market， foreign exchange market and international commodity prices.

It can be seen from the above scholars’ study， scholars in China and abroad studied the influence of unconventional emergency on the financial markets. All the results show that， unconventional emergencies have a significant impact on financial markets. However， previous researches have not studied the dynamic impact of unconventional emergencies on the financial market， and have not yet intuitively reflected the dynamic impact process of unconventional emergencies. Therefore， taking the stock and bond markets as the research objects， this paper constructs a vector autoregressive （VAR） model， studies the dynamic impact of unconventional emergencies on stock market and bond market， and reveals the dynamic impact process of unconventional emergency.

2. EMPIRICAL ANALYSIS

2.1 The establishing of Model

In order to research the dynamic impact process of unconventional emergencies on stock market and bond market， first of all， based on the duration of the unconventional emergencies impact on stock and bond market， the unconventional emergencies are divided into three types： terraced events， pulse events and gradual change events. In order to describe the different types of unconventional emergencies， this paper builds virtual variable to indicate as follows：

2.2 Data Sources

This article selects the Shanghai index return， Shanghai bond index return and Shanghai index return to represent the stock market return， Treasury bond market return and enterprise bond market return in China. Data range from On January 1， 2008 to May 31， 2013. The data of stock market return， Treasury bond market return and enterprise bond market return is from RESSET financial research database. This article uses the analysis software Eviews6.0.

2.3 Descriptive statistics Doing descriptive statistics for the Shanghai index return， Shanghai bond index return and Shanghai index return， the results are shown in Table 1. Table 1 indicates that， in the time interval this paper selected， the average return of Shanghai stock index is -0.0006， Shanghai Treasury bond index is 0.0169， and Shanghai enterprise bond index is 0.0285. The average return of the stock market is negative， the average return of Treasury bond market and enterprise market is positive. This indicated that， the happening of unconventional emergencies lead to stock market declines and the bond market rally and enterprise bond market rally. The skewness value and kurtosis value indicates that it was left-skewed and fat-tail distribution in the stock market， and left-skewed and fat-tail distribution in the Treasury bond market and enterprise bond market.statistics and probability indicate that all return of three markets don’t obey the normal distribution.

2.5.2 Dynamic Impact Effect Analysis

In order to intuitively reflect the impact process of unconventional emergencies on Chinese stock market， Treasury bond market and enterprise bond market， this paper builds the impulse response function of the Shanghai composite index， Shanghai Treasury bond index and Shanghai enterprise bond index to unconventional emergencies. As shown in Figure 1 to Figure 9.

Figure 1 to Figure 3 are the impulse response functions of the stock market， Treasury bond market and enterprise bond market to Japan’s Fukushima nuclear leak. Figure 1 shows that， the maximum impact of Japan’s Fukushima nuclear leak on the stock market is in the second period. The minimum is in the third period. It’s gradually stable after the fourth period. Figure 2 and Figure 3 show that， the impact of Fukushima nuclear leak on the Treasury bond market is similar to that on enterprise bond market. The maximum impact of Japan’s Fukushima nuclear leak on the Treasury bond market and the enterprise bond market is in the second period. It decreases gradually after the second period， and it’s gradually stable after the third period.

Figures 7 to Figure 9 are the impulse response functions of the stock market， Treasury bond market and enterprise bond market to the Wenchuan earthquake. Figure 7 to Figure 9 shows that， the impact processes of Wenchuan earthquake on the stock market， Treasury bond market and enterprise bond market are more complicated， and have longer duration. Figure 7 shows that， the minimum impact of Wenchuan earthquake on the stock market is in the second period. Then it increases gradually after that， and increases to the maximum in the third period， and then it decreases gradually， until it’s gradually stable after fourth period. Figure 8 shows that， the maximum impact of Wenchuan earthquake on the Treasury bond market is in the second period， and then it decreases gradually， and decreases to the minimum in the third period. Then it increases gradually and it’s stable after fifth period. The maximum impact of Wenchuan earthquake on the enterprise bond market is in the second period. It decreases after the second period， until it’s gradually stable after the fifth period.

CONCLUSION

This paper uses the VAR model to empirically analyze of the dynamic impact effect of unconventional emergencies on Chinese stock market， Treasury bond market and enterprise bond market. The unconventional emergency is divided into three types in this paper： terraced events， pulse events and gradual change events. In order to describe the different types of unconventional emergencies， this paper builds virtual variable to indicate them， and builds VAR model containing the three types of unconventional emergency. Estimation results of the VAR model show that， it has a significant impact on the stock market， Treasury bond market and enterprise bond market when unconventional emergencies happen. On this basis， this paper builds the impulse response functions of unconventional emergency on the stock market， Treasury bond market and enterprise bond market. Impulse response functions display that the impacts of unconventional emergencies on the stock market， Treasury bond market and enterprise bond market are dynamic process.

REFERENCES

Brounen， D.， Derwall， J. （2010）. The impact of terrorist attacks on international stock markets. European Financial Management， 16（4）， 585-598.

Cashell， B. W.， Labonte W. （2005）. The macroeconomic effects of hurricane katrina. Report for Congress with order code RS22260， Received through the CRS Web.

Carter， D. A.， Simkins B. J. （2004）. The market’s reaction to unexpected， catastrophic events： The case of airline stock returns and the september 11th attack. The Quarterly Review of Economics and Finance， 44（4）， 539-558.

Festl， R.， Utz， S.， & Wimmer， M. （2012）. The effect of the Japan 2011 disaster on nuclear and alternative energy stocks worldwide： An Event Study. BuR Business Research Journal， 5（1）， 25-41.

He， Qiang， Ma， Ji， & Zhang， Yi （2011）. The analysis of the influence of Japanese earthquake on the international financial market. International Financing， （5）， 34-36.

Kaplanski G.， Levy H. （2010）. Sentiment and stock prices： The case of aviation disasters. Journal of Financial Economics， 95（2）， 174-201.

Liu， Qingfu， Zhou， Chengyuan， & Zhang， Wanning （2011）. Earthquake disaster impact effect on China’s stock market. Research on Financial and Economics Issues， （4）， 62-67.

Ma Ji （2011）. Impact analysis of the Japan’s fukushima earthquake on economic and financial. Statistical and Consulting， （2）， 34-35.

Shan Liwei （2011）. Psychological or real？ The effect of the Wenchuan earthquake’s on China’s stock market. Economic Research， （4）， 121-134.

Straetmans， S. T. M.， Verschoor， W. F. C.， & Wolff C. C. P. （2008）. Extreme US stock market fluctuations in the wake of 9/11. Journal of Applied Econometrics， 23（1）， 17-42.

Wu Qifang （2003）. Empirical study on impact of SARS epidemic on the equity funds in China. Management Review， 15（5）， 8-11.

Xu， Chenghong， Feng， Yao， & Fan， Gangzhi （2010）. The shock of “Wenchuan” earthquake to real estate market and policy research. Statistical Study， 27（4）， 71-78.

Zhang， Xun， Yu， Lean， Li， Jianqiang， & Wang， Shouyang （2009）. Estimating the effects of extreme events to crude oil prices. Systems Engineering Theory and Practice， 29（3）， 10-15.