TEL  Vol.9 No.1 , February 2019
Evaluating the Accuracy of Valuation Multiples on Indian Firms Using Regularization Techniques of Penalized Regression
Author(s) Vandana Gupta
ABSTRACT

This research study is conducted on companies in three prominent sectors: Automobile, Banking and Steelall three diverse and affected by different economic, fiscal and financial policies. The author Gupta [1] attempts to extend the scope of study done earlier using simple linear regression for valuation of companies. Highlighting the limitations of linear regression: multicollinearity and normality, the present study is conducted by applying regularization techniques of machine learning. Ridge regression, LASSO and elastic net techniques are employed to underscore this commonality of the set of valuation multiples. These regularization techniques are tested on data of Indian listed firms spanning across twelve years from FY 07 to FY 2018 and the four multiples identified for the study are 1) price to earnings (P/E), 2) price to sales (P/S), 3) enterprise value to earnings before interest tax depreciation and amortization (EV/EBIDTA) and 4) price to book value (P/BV). The empirical findings are based on root mean square errors and learning curves, which corroborate the least prediction errors in P/S for auto sector, EV/EBIDTA for steel sector and P/BV for banking sector. As a byproduct, the author has also been able to pinpoint which one of the variables among them is the most important. The study concludes that, in spite of differing sectors, a certain set of common variables can be used across them to effectively assess company valuation (valuation multiples). The present work contributes to emerging market literature by evaluating the key multiples that drive sectors to apply non-traditional regression techniques.

Cite this paper
Gupta, V. (2019) Evaluating the Accuracy of Valuation Multiples on Indian Firms Using Regularization Techniques of Penalized Regression. Theoretical Economics Letters, 9, 180-209. doi: 10.4236/tel.2019.91015.
References
[1]   Gupta, V. (2018) Predicting Accuracy of Valuation Multiples Using Value Drivers: Evidence from Indian Listed Firms. Theoretical Economics Letters, 8, 755-772.

[2]   Jenkins, D. (2006) The Benefits of Hybrid Valuation Models. The CPA Journal.

[3]   Alford, A.W. (1992) The Effect of the Set of Comparable Firms on the Accuracy of Price Earnings Valuations Method. Journal of Accounting Research, 30, 94-108.

[4]   Penman, S. (1998) Combined Earnings and Book Value in Equity Valuations. Contemporary Accounting Research, 15.

[5]   Liu, J., Nissim, D. and Thomas, J. (2002) Equity Valuation Using Multiples. Journal of Accounting Research, 40, 135-172.
https://doi.org/10.1111/1475-679X.00042

[6]   Yoo, Y.K. (2006) The Valuation Accuracy of Equity Valuation Using a Combination of Multiples. Review of Accounting and Finance, 5, 108-123.

[7]   Antonios, S., Ioannis, S. and Panagiotis, A. (2012) Equity Valuation with the Use of Multiples. American Journal of Applied Sciences, 9, 60-65.

[8]   Nel, W.S. (2009) The Use of Multiples in the South African Equity Market: Is the Popularity of the Price Earnings Ratio Justifiable from a Sector Perspective? Meditari Accountancy Research, 17, 101-115.

[9]   Nel, W.S. and Roux, N.J. (2015) An Analyst’s Guide to Sector-specific Optimal Peer Group Variables and Multiples in the South African Markets. Economics, Management, and Financial Markets, 12, 25-54.

[10]   Schreiner, A and Spremann, K. (2007) Multiples and Their Valuation Accuracy in European Equity Markets.
https://doi.org/10.2139/ssrn.957352
https://ssrn.com/abstract=957352

[11]   Nissim, D. (2013) Relative Valuation of U.S. Insurance Companies. Review of Accounting Studies, 18, 324-359.

[12]   Knudsen, J.O., Kold, S. and Plenborg, T. (2017) Stick to the Fundamentals and Discover Your Peers. Financial Analysts Journal, 73, 85-105.

[13]   Bhargava, M. (2014) Factors Influencing Pricing Multiples in India. The IUP Journal of Applied Finance, 20.

[14]   Dasanayaka, S.W. (2014) Investors Behavior in Stock Exchanges Based on Price Multiples and Value Drivers: A Case Study Based on Colombo Stock Exchange in Sri Lanka. Global Management Journal for Academic & Corporate Studies, 4.

[15]   Lie, E. and Lie, H.J. (2002) Multiples Used to Estimate Corporate Value. Financial Analysts Journal, 58, 44-54.

[16]   Zahir, M.A. and Khanna, Y. (1982) Determinants of Stock Prices in India. The Chartered Accountant, 30, 521-523.

[17]   Kumar and Hundal (1986) Stock Market Integration Examining Linkages between India and Selected Asian Markets. Foreign Trade Review, 45, 3-18.

[18]   Sehgal, S. and Pandey, A. (2007) The Behavior of Price Multiples in India (1990-2007). Asian Academy of Management Journal of Accounting and Finance, 5, 31-65.

[19]   Holland, P. (1973) Weighted Ridge Regression: Combining Ridge and Robust Regression Methods. NBER Working Paper Series, Cambridge.

[20]   Saleh, A.K., Kibria, E. and Golam, B.M. (2013) Improved Ridge Regression Estimators for the Logistic Regression Model. Computational Statistics, 28, 2519-2558.
https://doi.org/10.1007/s00180-013-0417-6

[21]   Zang, T. and Yang, B. (2017) An Exact Approach to Ridge Regression for Big Data. Computational Statistics, 32, 909-928.
https://doi.org/10.1007/s00180-017-0731-5

[22]   Kubus, M. and Folia, O.S. (2016) Assessment of Predictor Importance with the Example of the Real Estate Market. Szczecin, 16, 29-39.
https://doi.org/10.1515/foli-2016-0023

[23]   Chen, J. and Tindall, M.L. (2014) Hedge Fund Replication Using Shrinkage Methodologies. The Journal of Alternative Investments, 17, 26-49.
https://doi.org/10.3905/jai.2014.17.2.026

[24]   Roweis, S. and Hinton, G. (2002) Stochastic Neighbor Embedding. Proceedings of the 15th International Conference on Neural Information Processing Systems, 857-864.

[25]   Rubin, D. (1976) Inference and Missing Data. Biometrika, 63, 581-592.
https://doi.org/10.1093/biomet/63.3.581

[26]   Damodaran, A. (2005) Valuation Approaches and Metrics: A Survey of the Theory and Evidence. Now Publishers, Hanover.

[27]   Damodaran, A. (2012) Investment Valuation: Tools and Techniques for Determining the Value of Any Asset. 3rd Edition, Wiley, Hoboken.

 
 
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