Journal of Commerce and Accounting Research

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Predicting the Likelihood of Hedging by Companies in India - A Logit Model Approach


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1 Associate Professor-Finance, SDM Institute for Management Development, Karnataka, India
     

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The study has analysed the extent and types of derivatives used for hedging, and the factors that explain the likelihood of hedging through derivatives by companies in India. A total of 349 companies were selected and data for the financial year ending 31 March 2018 was considered for the analysis. Using cross-sectional data, the study found that 74% of the companies were hedging through derivatives and forward contract was the instrument widely used to hedge exposures. To identify the factors that explain the likelihood that a company will hedge exposure, the logit model was employed; the dependent variable is binary (‘0’ for non-derivative user and ‘1’ for derivative user). The study identified revenues (log of revenue) and international operations (foreign sales/total sales) as the variables that explain the increase (positive impact) in the likelihood that companies will hedge through derivatives. Quick ratio and size (log of enterprise value) explain the decrease (negative impact) in the likelihood that companies will hedge risks through derivatives. Using the Hosmer and Lemeshow test, the accuracy of the model was predicted. Around 73.9% of the users of derivatives could be predicted as ‘Derivative Users’. The study would be of immense help to investors, as they understand what foreign exchange exposure is and how they are hedged by companies from the disclosures in annual reports. For the analysts, it is about understanding the variables that explain the motives behind companies deciding to hedge using derivatives. Theories such as hedging substitutes, size, and extent of international operations explain the motivation behind the companies’ decision to hedge risks. The study also provides directions for future research.

Keywords

Derivatives, Logit Model, Quick Ratio, Revenues, International Operations, Hosmer and Lemeshow Test
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  • Afza, T., & Alam, A. (2011). Determinants of corporate hedging policies: A case of foreign exchange and interest rate derivative usage. African Journal of Business Management, 5(14), 572-579.

  • Allayannis, G., & Ofek, E. (2001). Exchange rate exposure, hedging, and the use of foreign currency derivatives. Journal of International Money and Finance, 20, 273-296.

  • Ameer, R. (2010). Determinants of corporate hedging practices in Malaysia. International Journal of Business Research, 3(2), 120-130.

  • Anand, M., & Kaushik, K. P. (2008). Currency derivatives: A survey of Indian firms. IIMB Management Review, 20(3), 324-339.

  • Berkman, H., Bradbury, M. E. (1996). Empirical evidence on the corporate use of derivatives. Financial Management, 25(2), 5-14.

  • Bessembinder, H. (1991). Forward contracts and firm value: Investment incentive and contracting effects. Journal of Financial and Quantitative Analysis, (December), 519-532.

  • Charumathi, B., & Kota, H. B. (2012). On the determinants of derivative usage by large indian non-financial firms. Global Business Review, 13(2), 251-267.

  • Chong, L.-L., Chang, X.-J., & Tan, S.-H. (2014). Determinants of corporate foreign exchange risk hedging, Managerial Finance, 40(2), 176-188.

  • Clark, E., & Judge, A. P. (2008). The determinants of foreign currency hedging: Does foreign currency debt induce a bias?

  • Dunne, T. M., Helliar, C., Power, D., Mallin, C. A., Ow-Yong, K. H., & Moir, L. (2004). The introduction of derivatives reporting in the UK: A content analysis of FRS13 disclosures, Journal of Derivatives Accounting, 1, 2, 205-219.

  • El-Masry, A., Abdel-Salam, O., & Alatraby, A. (2007). The exchange rate exposure of U.K. non-financial companies. Managerial Finance, 33(9), 620-641.

  • Froot, K., Scharfstein, D., & Stein, J. (1993). Risk management: Coordinating corporate investment ad financing policies. Journal of Finance, 48, 1629-1658.

  • Geczy, C., Minton, B. A., & Schrand, C. (1997). Why firms use currency derivatives. Journal of Finance, 52(4), 107-151.

  • Goldberg, S. R., Godwin, J. H., Kim, M. S., & Tritschler, C. A. (1998). On the determinants of corporate usage of financial derivatives. Journal of International Financial Management and Accounting, 9(2), 132-166.

  • Jalilvand, A. (1999). Why firms use derivatives: Evidence from Canada. Canadian Journal of Administrative Sciences, 16(3), 213-228.

  • Joseph, N. L. (2000). The choice of hedging techniques and the characteristics of U.K. industrial firms. Journal of Multinational Financial Management, 10, 161-184.

  • Khan, N., Ali, K., Kiran, A., Mubeen, R., Khan, Z. N., & Ali, N. (2017). Factors that affect the derivatives usage of non-financial listed firms of Pakistan to hedge foreign exchange exposure. Journal of Banking and Financial Dynamics, 1(1), 9-20.

  • Kiymaz, H. (2003). Estimation of foreign exchange exposure: An emerging market application. Journal of Multinational Financial Management, 13, 71-84.

  • Linsley, M. P., & Shrives, J. P. (2006). Risk reporting: A study of risk disclosures in the annual report of UK companies. The British Accounting Review, 38(4), 387-404.

  • Mitra, A. (2013). Comparative analysis of foreign exchange risk management practices among non-banking companies in India. Africa Development and Resources Research Institute Journal, 3(3), 38-51.

  • Muff, T., Diacon, S., & Woods, M. (2007). The management of currency risk: Evidence from UK company disclosures (Discussion Paper Series).

  • Naghai, M., Nagahisarchoghaei, M., Solieman, N., & Jaradat, R. M. (2018). Hedging strategies of corporate houses. Journal of Business Administration Research, 7(1), 6-19.

  • Nance, D. R., Smith, C. W., & Smithson, C. W. (1993). On the determinants of corporate hedging. Journal of Finance, (March), 267-284.

  • Nguyen, H., & Faff, R. (2003). Can the use of foreign currency derivatives explain variations in foreign

  • exchange exposure? Evidence from Australian companies. Journal of Multinational Financial Management, 13(3), 193-215.

  • Omar, A. B., Mohammad Taufil, K. N. B. T., & Ahmad, N. B. (2017). Exposure of foreign exchange risk - A review of empirical evidences. Journal of Insurance and Financial Management, 2(5), 79-91.

  • Pennings, J. M. E. (2002). Pulling the trigger or not: Factors affecting behavior of initiating a position in derivatives markets. Journal of Economic Psychology, 23, 263-278.

  • Raghavendra, R. H., & Velmurugan, P. S. (2014). The determinants of currency hedging in Indian IT firms. Journal of Business and Financial Affairs, 3, 125-134.

  • Singh, A., & Upneja, A. (2007). Extend of hedging in the US lodging industry. Journal of Hospitality Management, 26(4), 764-776.

  • Smith, C. W., & Stulz, R. M. (1985). The determinants of firms’ hedging policies. Journal of Financial and Quantitative Analysis, (December), 391-405.

  • Tufano, P. (1996). Who manages risk? An empirical examination of risk management practices in the gold mining industry. The Journal of Finance, 51(4), 1097-1137.

  • Velasco, L. G. (2014). Factors Influencing derivatives usage of companies in Philippines. Philippine Management Review, 21(1), 1-12.

  • Vural-Yavas, C. (2016). Determinants of corporate hedging-evidence from emerging markets. International Journal of Economics and Finance, 8(12), 151-162.

  • Whidbee, A. D., & Wohar, M. (1999). Derivative activities and managerial incentives in the banking industry. Journal of Corporate Finance, 5, 251-276.


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  • Predicting the Likelihood of Hedging by Companies in India - A Logit Model Approach

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Authors

Sriram Mahadevan
Associate Professor-Finance, SDM Institute for Management Development, Karnataka, India

Abstract


The study has analysed the extent and types of derivatives used for hedging, and the factors that explain the likelihood of hedging through derivatives by companies in India. A total of 349 companies were selected and data for the financial year ending 31 March 2018 was considered for the analysis. Using cross-sectional data, the study found that 74% of the companies were hedging through derivatives and forward contract was the instrument widely used to hedge exposures. To identify the factors that explain the likelihood that a company will hedge exposure, the logit model was employed; the dependent variable is binary (‘0’ for non-derivative user and ‘1’ for derivative user). The study identified revenues (log of revenue) and international operations (foreign sales/total sales) as the variables that explain the increase (positive impact) in the likelihood that companies will hedge through derivatives. Quick ratio and size (log of enterprise value) explain the decrease (negative impact) in the likelihood that companies will hedge risks through derivatives. Using the Hosmer and Lemeshow test, the accuracy of the model was predicted. Around 73.9% of the users of derivatives could be predicted as ‘Derivative Users’. The study would be of immense help to investors, as they understand what foreign exchange exposure is and how they are hedged by companies from the disclosures in annual reports. For the analysts, it is about understanding the variables that explain the motives behind companies deciding to hedge using derivatives. Theories such as hedging substitutes, size, and extent of international operations explain the motivation behind the companies’ decision to hedge risks. The study also provides directions for future research.

Keywords


Derivatives, Logit Model, Quick Ratio, Revenues, International Operations, Hosmer and Lemeshow Test

References