scholarly journals Forward Looking Equity Risk Premium: A Normative Long-Term View

2019 ◽  
Vol 09 (08) ◽  
pp. 3021-3033
Author(s):  
Gregory Moscato
2019 ◽  
Vol 22 (2) ◽  
pp. 195-212 ◽  
Author(s):  
Jie Zhu

The expected equity risk premium is a key input of many asset prcing models in…nance. There exist a number of methods to estimate the risk premium. It is alsowell documented that the risk premium is time-varying. This paper brie‡y reviews twodi¤erent approaches. More speci…cally, the historical average and relative estimationare taken into closer examination. The …rst approach is applied to estimate equity riskpremium for stock markets in Greater China when the stock markets were recoveringfrom the bottom. Then the relative estimation approach is also adopted to empiricaldata to justify the …ndings in the …rst one, which takes into consideration the lowerrequired rate of return for Chinese investors due to lack of investment opportunities.After making these adjustments, we …nd that risk premium in mainland China is close torisk premium for Hong Kong and Taiwan markets. All of those markets have higher riskpremium compared to US market. The risk premium for Shanghai and Shenzhen marketare about 8% and 10% respectively. For Hong Kong and Taiwan these numbers become8% and 9%, where the long-term forward-looking risk premium for US market is about4%.


2008 ◽  
Vol 2 (1) ◽  
pp. 89-104
Author(s):  
Jesse De Beer

The concept of an equity risk premium (ERP) is fundamental to modern financial theory and central to every decision at the heart of corporate finance. Efforts to quantify ERP are well rewarded by insights into the stability and dynamics of long-term investment performance. Such efforts require the quantification of both historically realised (ex post) and expected future (ex ante) premiums. Finding an appropriate proxy for the expected (ex ante) ERP remains a challenging aspect. One widely used application is the use of long-term averages of observed market premiums as a proxy for expected returns. The aim of this paper is to analyse the appropriateness of the historical methodology of estimating expected ERP in the South African context. The analysis in this paper suggests that analysing past historical figures remains useful in the SA context. This is supported by the results of the statistical analysis, showing stationarity of the ERP time-series, meaning that the true mean does not change over time. This implies that the historical average mean may be used as a proxy for the long-run expected ERP. However, the well-documented problems relating to large standard errors (predictability problem) and relevance due to changing circumstances are also evident in the SA data. Thus, investors would be well advised to analyse the past and apply informed judgments as to future differences, if any, when attempting to arrive at fair forecasts.


2002 ◽  
Vol 2002 (3) ◽  
pp. 37-48 ◽  
Author(s):  
Peter L. Bernstein

2004 ◽  
Author(s):  
Rui M. Alpalhão ◽  
Paulo F. Pereira Alves

Sign in / Sign up

Export Citation Format

Share Document