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An Analysis of Market P/E Using Auto Regression and Vector Auto Regression Models


Affiliations
1 Jaipuria Institute of Management, Noida, India
 

Price Earnings (P/E) ratio is one of the most commonly used and one of the most useful techniques in valuation of companies which can be applied for companies as well as for market and can be used in different forms for analysis. Various macroeconomic factors affect stock market and the valuation of companies. Thus, it becomes very important to understand the behavior of P/E ratio with other relevant macro economic variables. This research is such an attempt where the market P/E is analyzed in comparison with payout ratios, money market rates, Forex rates and GDP using advanced statistical analysis such as Auto Regression and Vector Auto Regression Modeling. It was found that dividend payout and money market rates were the two important variables affecting market P/E.

Keywords

Auto Regression, Corporate Valuation, Econometrics, Financial Economics, Macroeconomics, P/E Ratio.
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  • Anderson, K., & Brooks, C. (2005). The Long-Term Price-Earnings Ratio. Journal of Business Finance & Accounting, 33(7-8), 1063-1086.

  • Basistha, A., & Kurov, A. (2008). Macroeconomic cycles and the stock market’s reaction to monetary policy. Journal of Banking & Finance, 32(12), 2606-2616.

  • Bernanke, B.S., & Kuttner, K.N. (2005). What explains the stock market's reaction to federal reserve policy?. Journal of Finance, 60(3), 1221-1257.

  • Bonga-Bonga, L. (2011). Equity prices, monetary policy and economic activities in South Africa. Economic Society of South Africa Conference, Stellenbosch University, Stellenbosch, South Africa.

  • Campbell, J, & Shiller, R. (1988). Stock Prices, Earnings and Expected Dividends. Journal of Finance, 43(3), 61-676.

  • Charlotte, S.H., & Tuypens, B.E. (2005). Proxying for Expected Returns with Price Earnings Ratios. Finance Letters, 1(3), 77-86.

  • Ehrmann, M., & Fratzscher, M. (2002). Interdependence between the Euro area and the US: What role for EMU?. (European Central Bank Working Paper No. 200). Frankfurt/ Main: European Central Bank.

  • Hjalmarsson, E. (2010). Predicting Global Stock Returns. Journal of Financial and Quantitative Analysis, 45(1), 49-80.

  • Kellard, N.M., Nankervis J.C., & Papadimitriou F.I. (2010). Predicting the Equity Premium with Dividend Ratios: Reconciling the Evidence. Journal of Empirical Finance, 17, 539-551.

  • Muroyiwa, B. (2011). Identifying the interdependence between South Africa’s monetary policy and the stock market (Unpublished MSc Thesis). Grahamstown, South Africa: Department of Economics and Economic History Rhodes University.

  • Sims, C.A. (1980). Macroeconomics and reality. Economet- rica, 48(1), 1-48.


Abstract Views: 185

PDF Views: 66




  • An Analysis of Market P/E Using Auto Regression and Vector Auto Regression Models

Abstract Views: 185  |  PDF Views: 66

Authors

Moid U. Ahmad
Jaipuria Institute of Management, Noida, India

Abstract


Price Earnings (P/E) ratio is one of the most commonly used and one of the most useful techniques in valuation of companies which can be applied for companies as well as for market and can be used in different forms for analysis. Various macroeconomic factors affect stock market and the valuation of companies. Thus, it becomes very important to understand the behavior of P/E ratio with other relevant macro economic variables. This research is such an attempt where the market P/E is analyzed in comparison with payout ratios, money market rates, Forex rates and GDP using advanced statistical analysis such as Auto Regression and Vector Auto Regression Modeling. It was found that dividend payout and money market rates were the two important variables affecting market P/E.

Keywords


Auto Regression, Corporate Valuation, Econometrics, Financial Economics, Macroeconomics, P/E Ratio.

References