Terrorist attacks, analyst sentiment, and earnings forecasts

We examine whether exogenous and extremely negative events, such as terrorist attacks and mass shootings, influence the sentiment and forecasts of sell-side equity analysts. We find that analysts who are local to these attacks issue forecasts that are relatively more pessimistic than the consensus forecast. This effect is stronger when the analyst is closer to the event and located in a low-crime region. Impacted analysts are also relatively more pessimistic around the one- and two-year anniversaries of the attacks. Collectively, these findings indicate that exposure to extreme negative events affects the behavior of information intermediaries and the information dissemination process in financial markets

Cycles of violence, and terrorist attacks index for the State of Oklahoma

I apply the Beveridge-Nelson business cycle decomposition method to the time series of per capita murder of Florida State (1933-2005). Separating out “permanent” from “cyclical” murder, I hypothesize that the cyclical part coincide with documented waves of organized crime, internal tensions, crime legislation, social, and political unrest, and with the periodic terrorist attacks to the U.S. The estimated cyclical component of murder shows that terrorist attacks against the U.S. have affected Oklahoma, creating estimated turning point dates marked by the most tragic terrorist attacks to the nation, and the State: the World Trade Center bombing in 1993, 9/11 2001, and the Alfred P. Murrah Federal Building bombing This paper belongs to the series of papers helping the U.S, and Homeland Security identify the closeness of terrorist attacks, and constructs the attacks index for Oklahoma. Other indices constructed include the Index for the U.S., New York State, New York City, Arizona, Massachusetts, California, Washington, Ohio, Philadelphia City, Arkansas, Missouri, Florida, and Michigan. These indices must be used as dependent variables in structural models for terrorist attacks and in models assessing the effects of terrorism over the U.S. economy.: A model of cyclical terrorist murder in Colombia; 1950-2004. Forecasts 2005-2019; the econometrics of violence; terrorism; and scenarios for peace in Colombia from 1950 to 2019; scenarios for sustainable peace in Colombia by year 2019; decomposing violence: terrorist murder in the twentieth in the United States; using the Beveridge and Nelson decomposition of economic time series for pointing out the occurrence of terrorist attacks; terrorist murder; cycles of violence; and terrorist attacks in New York City during the last two centuries; and terrorist murder; cycles of violence; and attacks index for the City of Philadelphia during the last two centuries

Cycles of violence and terrorist attacks index for the State of Arizona

I apply the Beveridge-Nelson business cycle decomposition method to the time series of per capita murder in the State of Arizona (1933-2005). Separating out “permanent” from “cyclical” murder, I hypothesize that the cyclical part coincides with documented waves of organized crime, internal tensions, breakdowns in social order, crime legislation, social, and political unrest, and recently with the periodic terrorist attacks to the U.S. The estimated cyclical component of murder warns that terrorist attacks in the U.S. soil, and foreign wars fought by the country from 1941 to 2005, have affected Arizona creating estimated turning point dates clearly marked by the most tragic terrorist attacks to the nation: the shut down in power in NYC in 1965, the World Trade Center Bombing in 1993, and 9/11 2001. Other indexes already constructed include the attacks indexes for the U.S (http://mpra.ub.uni-uenchen.de/1145/01/MPRA_paper_1145.pdf), New York City (http://mpra.ub.uni-muenchen.de/4200/01/MPRA_paper_4200.pdf), and Massachusetts (http://mpra.ub.uni-muenchen.de/4342/01/MPRA_paper_4342.pdf). These indexes must be used as dependent variables in structural models for terrorist attacks, and in models assessing the effects of terrorism over the U.S. economy.A model of cyclical terrorist murder in Colombia; 1950-2004. Forecasts 2005-2019; the econometrics of violence; terrorism; and scenarios for peace in Colombia from 1950 to 2019; scenarios for sustainable peace in Colombia by year 2019; decomposing violence: terrorist murder in the twentieth in the United States; using the Beveridge and Nelson decomposition of economic time series for pointing out the occurrence of terrorist attacks; decomposing violence: terrorist murder and attacks in New York State from 1933 to 2005; terrorist murder; cycles of violence; and terrorist attacks in New York City during the last two centuries; cycles of violence; and terrorist attacks index for the State of Massachusetts

Altruistic Responses of the September 11 Terrorist Attacks: Some Evidence from Dictator Games

This paper uses economic experiments to compare altruistic behavior before and immediately after the terrorist attacks. Before September 11 the authors had conducted dictator games in which students were given the option of donating their earnings from the experiment to the American Red Cross. The authors repeated the experiment in late September after the attacks. This paper compares giving before and after the terrorist attacks and evaluates the extent to which altruistic responses before and after the attack differ by gender, major. religious practice and income level. The authors find significant differences in altruistic behavior of women and men. Women donated more than men both before and after the terrorist attacks. In addition, far more women acted as perfect altruists, giving all the money in the experiment to the Red Cross, while far more men acted perfectly selfishly by keeping all the money. Both genders increased giving significantly after the terrorist attacks.

Cycles of violence, and terrorist attacks index for the State of Washington.

I apply the Beveridge-Nelson business cycle decomposition method to the time series of per capita murder in the State of Washington. (1933-2005). Separating out “permanent” from “cyclical” murder, I hypothesize that the cyclical part coincides with documented waves of organized crime, internal tensions, breakdowns in social order, crime legislation, social, and political unrest, and recently with the periodic terrorist attacks to the U.S. The estimated cyclical component of murder warns that terrorist attacks against the U.S. have affected Washington creating estimated turning point dates marked by the most tragic terrorist attacks to the nation: the World Trade Center Bombing in 1993, and 9/11 2001. This paper belongs to the series of papers helping the U.S identify the closeness of terrorist attacks, and constructs the attacks index for Washington. Other indices constructed include the Index for the U.S. http://mpra.ub.uni-uenchen.de/1145/01/MPRA_paper_1145.pdf, New York State http://mpra.ub.uni-muenchen.de/3776/01/MPRA_paper_3776.pdf, New York City http://mpra.ub.uni-muenchen.de/4200/01/MPRA_paper_4200.pdf, Arizona State http://mpra.ub.uni-muenchen.de/4360/01/MPRA_paper_4360.pdf, Massachusetts State http://mpra.ub.uni-muenchen.de/4342/01/MPRA_paper_4342.pdf., California http://mpra.ub.uni-muenchen.de/4547/01/MPRA_paper_4547.pdf., Ohio, and Arkansas. These indices must be used as dependent variables in structural models for terrorist attacks and in models assessing the effects of terrorism over the U.S. economy.A model of cyclical terrorist murder in Colombia; 1950-2004. Forecasts 2005-2019; the econometrics of violence; terrorism; and scenarios for peace in Colombia from 1950 to 2019; scenarios for sustainable peace in Colombia by year 2019; decomposing violence: terrorist murder in the twentieth in the United States; using the Beveridge and Nelson decomposition of economic time series for pointing out the occurrence of terrorist attacks; decomposing violence: terrorist murder and attacks in New York State from 1933 to 2005; terrorist murder; cycles of violence; and terrorist attacks in New York City during the last two centuries

Cycles of violence, and attacks index for the State of Florida

I apply the Beveridge-Nelson business cycle decomposition method to the time series of per capita murder of Florida State (1933-2005). Separating out “permanent” from “cyclical” murder, I hypothesize that the cyclical part coincide with documented waves of organized crime, internal tensions, crime legislation, social, and political unrest, and with the periodic terrorist attacks to the U.S. The estimated cyclical component of murder shows that terrorist attacks against the U.S. have affected Florida, creating estimated turning point dates marked by the most tragic terrorist attacks to the nation: the World Trade Center bombing in 1993, and 9/11 2001 This paper belongs to the series of papers helping the U.S, and Homeland Security identify the closeness of terrorist attacks, and constructs the attacks index for Florida. Other indices constructed include the Index for the U.S. http://mpra.ub.uni-uenchen.de/1145/01/MPRA_paper_1145.pdf, New York State http://mpra.ub.uni-muenchen.de/3776/01/MPRA_paper_3776.pdf, New York City http://mpra.ub.uni-muenchen.de/4200/01/MPRA_paper_4200.pdf, Arizona State http://mpra.ub.uni-muenchen.de/4360/01/MPRA_paper_4360.pdf, Massachusetts State http://mpra.ub.uni-muenchen.de/4342/01/MPRA_paper_4342.pdf., California http://mpra.ub.uni-muenchen.de/4547/01/MPRA_paper_4547.pdf., Washington http://mpra.ub.uni-muenchen.de/4604/01/MPRA_paper_4604.pdf., Ohio http://mpra.ub.uni-muenchen.de/4605/01/MPRA_paper_4605.pdf., Philadelphia City, http://mpra.ub.uni-muenchen.de/4783/01/MPRA_paper_4783.pdf, Arkansas http://mpra.ub.uni-muenchen.de/4606/01/MPRA_paper_4606.pdf. These indices must be used as dependent variables in structural models for terrorist attacks and in models assessing the effects of terrorism over the U.S. economy.A model of cyclical terrorist murder in Colombia; 1950-2004. Forecasts 2005-2019; the econometrics of violence; terrorism; and scenarios for peace in Colombia from 1950 to 2019; scenarios for sustainable peace in Colombia by year 2019; decomposing violence: terrorist murder in the twentieth in the United States; using the Beveridge and Nelson decomposition of economic time series for pointing out the occurrence of terrorist attacks; terrorist murder; cycles of violence; and terrorist attacks in New York City during the last two centuries

Cycles of violence, and terrorist attacks index for the State of Ohio

I apply the Beveridge-Nelson business cycle decomposition method to the time series of per capita murder in the State of Ohio. (1933-2005). Separating out “permanent” from “cyclical” murder, I hypothesize that the cyclical part coincides with documented waves of organized crime, internal tensions, crime legislation, social, and political unrest, and recently with the periodic terrorist attacks to the U.S. The estimated cyclical component of murder warns that terrorist attacks against the U.S. have affected Ohio creating estimated turning point dates marked by the most tragic terrorist attacks to the nation: the World Trade Center Bombing in 1993, and 9/11 2001. This paper belongs to the series of papers helping the U.S identify the closeness of terrorist attacks, and constructs the attacks index for Ohio. Other indices constructed include the Index for the U.S. http://mpra.ub.uni-uenchen.de/1145/01/MPRA_paper_1145.pdf, New York State http://mpra.ub.uni-muenchen.de/3776/01/MPRA_paper_3776.pdf, New York City http://mpra.ub.uni-muenchen.de/4200/01/MPRA_paper_4200.pdf, Arizona State http://mpra.ub.uni-muenchen.de/4360/01/MPRA_paper_4360.pdf, Massachusetts State http://mpra.ub.uni-muenchen.de/4342/01/MPRA_paper_4342.pdf., California http://mpra.ub.uni-muenchen.de/4547/01/MPRA_paper_4547.pdf. Washington http://mpra.ub.uni-muenchen.de/4604/01/MPRA_paper_4604.pdf., and Arkansas. These indices must be used as dependent variables in structural models for terrorist attacks and in models assessing the effects of terrorism over the U.S. economy.A model of cyclical terrorist murder in Colombia; 1950-2004. Forecasts 2005-2019; the econometrics of violence; terrorism; and scenarios for peace in Colombia from 1950 to 2019; scenarios for sustainable peace in Colombia by year 2019; decomposing violence: terrorist murder in the twentieth in the United States; using the Beveridge and Nelson decomposition of economic time series for pointing out the occurrence of terrorist attacks; decomposing violence: terrorist murder and attacks in New York State from 1933 to 2005; terrorist murder; cycles of violence; and terrorist attacks in New York City during the last two centuries

Cycles of violence, and terrorist attacks index for the State of Michigan

I apply the Beveridge-Nelson business cycle decomposition method to the time series of per capita murder of Michigan State (1933-2005). Separating out “permanent” from “cyclical” murder, I hypothesize that the cyclical part does not coincide with documented waves of organized crime, internal tensions, crime legislation, social, and political unrest, and with the periodic terrorist attacks to the U.S. The estimated cyclical component of murder shows that terrorist attacks against the U.S. have not affected Michigan, presenting this State, along with Arkansas as immune to the suffering of the nation, and to the occurrence of attacks. The State appears as having a growing index of permanent murder. This paper belongs to the series of papers helping the U.S, and Homeland Security identify the closeness of terrorist attacks, and constructs the attacks index for Michigan. Other indices constructed include the Index for the U.S., New York State, New York City, Arizona, Massachusetts, California, Washington, Ohio, Philadelphia City, Arkansas, Missouri, Florida, and Oklahoma. These indices must be used as dependent variables in structural models for terrorist attacks and in models assessing the effects of terrorism over the U.S. economy.A model of cyclical terrorist murder in Colombia; 1950-2004. Forecasts 2005-2019; the econometrics of violence; terrorism; and scenarios for peace in Colombia from 1950 to 2019; scenarios for sustainable peace in Colombia by year 2019; decomposing violence: terrorist murder in the twentieth in the United States; using the Beveridge and Nelson decomposition of economic time series for pointing out the occurrence of terrorist attacks; terrorist murder; cycles of violence; and terrorist attacks in New York City during the last two centuries; and terrorist murder; cycles of violence; and attacks index for the City of Philadelphia during the last two centuries

War on Terror: Do Military Measures Matter? Empirical Analysis of Post 9/11 Period in Pakistan

This paper is the first attempt to investigate the causal relationship between military spending, terrorist attacks and intensity of terrorism in Pakistan, by applying ARDL approach to cointegration and Innovation Accounting approach for causality analysis. The results indicate that war on terror is the major determinant of military spending followed by terrorism intensity and the number of terrorist attacks respectively. The study further finds that terrorism intensity and terrorist attacks Granger-cause military spending but the reverse causality is found absent. The failure of military measures to curtail terrorism and its intensity induces one to suggest greater involvement of civil intelligence agencies by raising their budgets instead of pure military budget.Causality Analysis; Military Spending; Civil Intelligence; Terrorism

Evaluating the Long-run Impacts of the 9/11 Terrorist Attacks on US Domestic Airline Travel

Although the US airline industry began 2001 with 24 consecutive profitable quarters, including net profits in 2000 totaling $7.9 billion, the impact of the 9/11 event on the industry was substantial. Whereas the recession that began in early 2001 signaled the end of profitability, the 9/11 terrorist attacks pushed the industry into financial crisis after air travel dropped 20% over the September–December 2001 period compared to the same period in 2000. Given the decline in domestic air travel, an important question is whether the detrimental impact of the attacks was temporary or permanent. That is, did airline travel return to the trend that existed prior to the terrorist attacks? There are theoretical reasons to the believe that it would not. Economists have long viewed travel-mode choices as the outcome of a comparison of opportunity costs and benefits. Thus, anything that permanently raises the opportunity cost of travel, holding benefits constant, should reduce the level of travel volume. To determine whether air travel was permanently reduced, we use econometric and time-series forecasting models to generate a counter-factual forecast of air travel volume in the absence of the terrorist attacks. These dynamic forecasts are compared to actual air travel levels to determine the impact of the terrorist attacks. The findings suggest that domestic air travel did not return to the levels that would have existed in the absence of the attack