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Does weather affect US bank loan efficiency?

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Abstract

The impact of strong emotions or mood on decision making and risk taking is well recognized in behavioral economics and finance. Yet, and in spite of the immense interest, no study, so far, has provided any comprehensive evidence on the impact of weather conditions. This paper provides the theoretical framework to study the impact of weather through its influence on bank manager’s mood on bank inefficiency. In particular, we provide empirical evidence of the dynamic interactions between weather and bank loan inefficiency, using a panel data set that includes 69 banks operating in the US spanning the period 1994 to 2009. Bank loan inefficiency is derived using both a standard stochastic frontier production approach for bank loans and a directional distance function. Then, we employ a Panel-VAR model to derive orthogonalised impulse response functions and variance decompositions, which show responses of the main variables, weather and bank loan inefficiency, to orthogonal shocks. The results provide evidence insinuating the importance of specific weather characteristics, such as temperature and cloud cover time, in explaining the variation of gross loans.

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  • Mamatzakis, E, 2013. "Does weather affect US bank loan efficiency?," MPRA Paper 51616, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:51616
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    1. Cao, Melanie & Wei, Jason, 2005. "Stock market returns: A note on temperature anomaly," Journal of Banking & Finance, Elsevier, vol. 29(6), pages 1559-1573, June.
    2. Lisa A. Kramer & Mark J. Kamstra & Maurice D. Levi, 2000. "Losing Sleep at the Market: The Daylight Saving Anomaly," American Economic Review, American Economic Association, vol. 90(4), pages 1005-1011, September.
    3. Paul M. Romer, 2000. "Thinking and Feeling," American Economic Review, American Economic Association, vol. 90(2), pages 439-443, May.
    4. Lozano-Vivas, Ana & Pasiouras, Fotios, 2010. "The impact of non-traditional activities on the estimation of bank efficiency: International evidence," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1436-1449, July.
    5. Angel Pardo & Enric Valor, 2003. "Spanish Stock Returns: Where is the Weather Effect?," European Financial Management, European Financial Management Association, vol. 9(1), pages 117-126, March.
    6. David Hirshleifer & Tyler Shumway, 2003. "Good Day Sunshine: Stock Returns and the Weather," Journal of Finance, American Finance Association, vol. 58(3), pages 1009-1032, June.
    7. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    8. Douglas W. Diamond, 1984. "Financial Intermediation and Delegated Monitoring," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(3), pages 393-414.
    9. Delis, Manthos D. & Tsionas, Efthymios G., 2009. "The joint estimation of bank-level market power and efficiency," Journal of Banking & Finance, Elsevier, vol. 33(10), pages 1842-1850, October.
    10. Chang, Shao-Chi & Chen, Sheng-Syan & Chou, Robin K. & Lin, Yueh-Hsiang, 2008. "Weather and intraday patterns in stock returns and trading activity," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1754-1766, September.
    11. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    12. Dowling, Michael & Lucey, Brian M., 2008. "Robust global mood influences in equity pricing," Journal of Multinational Financial Management, Elsevier, vol. 18(2), pages 145-164, April.
    13. Mark J. Kamstra & Lisa A. Kramer & Maurice D. Levi, 2003. "Winter Blues: A SAD Stock Market Cycle," American Economic Review, American Economic Association, vol. 93(1), pages 324-343, March.
    14. Kelly, Patrick J. & Meschke, Felix, 2010. "Sentiment and stock returns: The SAD anomaly revisited," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1308-1326, June.
    15. Berger, Allen N. & Mester, Loretta J., 1997. "Inside the black box: What explains differences in the efficiencies of financial institutions?," Journal of Banking & Finance, Elsevier, vol. 21(7), pages 895-947, July.
    16. Yuan, Kathy & Zheng, Lu & Zhu, Qiaoqiao, 2006. "Are investors moonstruck? Lunar phases and stock returns," Journal of Empirical Finance, Elsevier, vol. 13(1), pages 1-23, January.
    17. Jacobsen, Ben & Marquering, Wessel, 2008. "Is it the weather?," Journal of Banking & Finance, Elsevier, vol. 32(4), pages 526-540, April.
    18. Kramer, Walter & Runde, Ralf, 1997. "Stocks and the Weather: An Exercise in Data Mining or Yet Another Capital Market Anomaly?," Empirical Economics, Springer, vol. 22(4), pages 637-641.
    19. Taboada, Alvaro G., 2011. "The impact of changes in bank ownership structure on the allocation of capital: International evidence," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2528-2543, October.
    20. Dowling, Michael & Lucey, Brian M., 2005. "Weather, biorhythms, beliefs and stock returns--Some preliminary Irish evidence," International Review of Financial Analysis, Elsevier, vol. 14(3), pages 337-355.
    21. Symeonidis, Lazaros & Daskalakis, George & Markellos, Raphael N., 2010. "Does the weather affect stock market volatility?," Finance Research Letters, Elsevier, vol. 7(4), pages 214-223, December.
    22. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    23. Sealey, Calvin W, Jr & Lindley, James T, 1977. "Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions," Journal of Finance, American Finance Association, vol. 32(4), pages 1251-1266, September.
    24. Maudos, Joaquin & Pastor, Jose M. & Perez, Francisco & Quesada, Javier, 2002. "Cost and profit efficiency in European banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 12(1), pages 33-58, February.
    25. Shleifer, Andrei & Vishny, Robert W., 2010. "Unstable banking," Journal of Financial Economics, Elsevier, vol. 97(3), pages 306-318, September.
    26. Moshirian, Fariborz, 2011. "The global financial crisis and the evolution of markets, institutions and regulation," Journal of Banking & Finance, Elsevier, vol. 35(3), pages 502-511, March.
    27. Holod, Dmytro & Lewis, Herbert F., 2011. "Resolving the deposit dilemma: A new DEA bank efficiency model," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2801-2810, November.
    28. Guy Kaplanski & Haim Levy, 2017. "Seasonality in Perceived Risk: A Sentiment Effect," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 7(01), pages 1-21, March.
    29. Saunders, Edward M, Jr, 1993. "Stock Prices and Wall Street Weather," American Economic Review, American Economic Association, vol. 83(5), pages 1337-1345, December.
    30. Mehra, Rajnish & Sah, Raaj, 2002. "Mood fluctuations, projection bias, and volatility of equity prices," Journal of Economic Dynamics and Control, Elsevier, vol. 26(5), pages 869-887, May.
    31. Jacobsen, Ben & Marquering, Wessel, 2009. "Is it the weather? Response," Journal of Banking & Finance, Elsevier, vol. 33(3), pages 583-587, March.
    32. Arkes, Hal R. & Herren, Lisa Tandy & Isen, Alice M., 1988. "The role of potential loss in the influence of affect on risk-taking behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 42(2), pages 181-193, October.
    33. Love, Inessa & Zicchino, Lea, 2006. "Financial development and dynamic investment behavior: Evidence from panel VAR," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 190-210, May.
    34. Malcolm Baker & Jeffrey Wurgler, 2004. "A Catering Theory of Dividends," Journal of Finance, American Finance Association, vol. 59(3), pages 1125-1165, June.
    35. Yoon, Seong-Min & Kang, Sang Hoon, 2009. "Weather effects on returns: Evidence from the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(5), pages 682-690.
    36. Terrance Odean, 1999. "Do Investors Trade Too Much?," American Economic Review, American Economic Association, vol. 89(5), pages 1279-1298, December.
    37. Kamstra, Mark J. & Kramer, Lisa A. & Levi, Maurice D., 2009. "Is it the weather? Comment," Journal of Banking & Finance, Elsevier, vol. 33(3), pages 578-582, March.
    38. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    39. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    More about this item

    Keywords

    Bank loan inefficiency; weather conditions; panel VAR; causality; US banking.;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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