The impact of natural disasters on the stock returns and volatilities of local firms
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Asongu, 2013
Baker, 2013
Barras, 2010, False discoveries in mutual fund performance: Measuring luck in estimated alphas, Journal of Finance, 65, 179, 10.1111/j.1540-6261.2009.01527.x
Benjamini, 1995, Controlling the false discovery rate: A practical and powerful approach to multiple testing, Journal of the Royal Statistical Society, Series B: Statistical Methodology, 57, 289, 10.1111/j.2517-6161.1995.tb02031.x
Bernile, 2015
Bialkowski, 2008, Stock market volatility around national elections, Journal of Banking and Finance, 32, 1941, 10.1016/j.jbankfin.2007.12.021
Downton, 2005, How accurate are disaster loss data? The case of U.S. flood damage, Natural Hazards, 35, 211, 10.1007/s11069-004-4808-4
Eisensee, 2007, News droughts, news floods, and U.S. disaster relief, Quarterly Journal of Economics, 122, 693, 10.1162/qjec.122.2.693
Engle, 1982, Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation, Econometrica, 50, 987, 10.2307/1912773
Essaddam, 2015, Event-study volatility and bootstrapping: An international study, Applied Economics Letters, 22, 209, 10.1080/13504851.2014.934423
Francis, 2012, Evidence linking Arctic amplification to extreme weather in mid-latitudes, Geophysical Research Letters, 39, L06801, 10.1029/2012GL051000
Hansen, 2005, A forecast comparison of volatility models: Does anything beat a GARCH(1,1)?, Journal of Applied Econometrics, 20, 873, 10.1002/jae.800
Hochrainer, 2009
Korniotis, 2013, State-level business cycles and local return predictability, Journal of Finance, 68, 1037, 10.1111/jofi.12017
Leiter, 2009, Creative disasters? Flooding effects on capital, labour and productivity within European firms, Environmental and Resource Economics, 43, 333, 10.1007/s10640-009-9273-9
Ljung, 1978, On a measure of lack of fit in time series models, Biometrika, 65, 297, 10.1093/biomet/65.2.297
Lu, 2011, Unreliable inference for business and economic event studies based on variance dummy variable in a GARCH regression model, Journal of Applied Business and Economics, 12, 45
Luo, 2012
Mechler, 2009
Nakamura, 2013, Crises and recoveries in an empirical model of consumption disasters, American Economic Journal: Macroeconomics, 5, 35
Nelson, 1991, Conditional heteroskedasticity in asset returns: A new approach, Econometrica, 59, 347, 10.2307/2938260
Norrman, 2004, Ericsson's proactive supply chain risk management approach after a serious sub-supplier accident, International Journal of Physical Distribution & Logistics Management, 34, 434, 10.1108/09600030410545463
Noy, 2011, Fiscal storms: Public spending and revenues in the aftermath of natural disasters, Environment and Development Economics, 16, 113, 10.1017/S1355770X1000046X
Raddatz, 2009
Rahmstorf, 2011, Increase of extreme events in a warming world, Proceedings of the National Academy of Sciences of the United States of America, 108, 17905, 10.1073/pnas.1101766108
Ruppert, 2011, GARCH Models, 477
Skidmore, 2002, Do natural disasters promote long-run growth?, Economic Inquiry, 40, 664, 10.1093/ei/40.4.664
Storey, 2002, A direct approach to false discovery rates, Journal of the Royal Statistical Society, Series B: Statistical Methodology, 64, 479, 10.1111/1467-9868.00346
Smith, 2013, US billion-dollar weather and climate disasters: Data sources, trends, accuracy and biases, Natural Hazards, 67, 387, 10.1007/s11069-013-0566-5
Strobl, 2011, The economic growth impact of hurricanes: Evidence from U.S. coastal counties, Review of Economics and Statistics, 93, 575, 10.1162/REST_a_00082
Wang, 2013, The impact of natural disasters on stock markets: Evidence from japan and the US, Comparative Economic Studies, 55, 672, 10.1057/ces.2013.16
West, 1994, Modeling the regional impact of natural disaster and recovery: A general framework and an application to Hurricane Andrew, International Regional Science Review, 17, 121, 10.1177/016001769401700201
Worthington, 2008, The impact of natural events and disasters on the Australian stock market: A GARCH-M analysis of storms, floods, cyclones, earthquakes and bushfires, Global Business and Economics Review, 10, 1, 10.1504/GBER.2008.016824