Shiller's CAPE and Forward Real Returns in India

2021 ◽  
Author(s):  
Rajan Raju
Keyword(s):  
CFA Digest ◽  
2006 ◽  
Vol 36 (3) ◽  
pp. 36-37
Author(s):  
Brendan F. O'Connell
Keyword(s):  
The Real ◽  

2021 ◽  
Vol 14 (3) ◽  
pp. 99
Author(s):  
Marc Peter Radke ◽  
Manuel Rupprecht

In this paper, we present a newly generated data set on real returns of households’ aggregated asset holdings, which adds additional and more sophisticated information to existing relevant datasets in the literature. To do this, we draw on various datasets from public and private sources and then transform and combine them in a consistent manner that allows for international comparative and intertemporal analyses. Based on this, we address two current debates on the development of household wealth in the euro area that have been triggered by the low-interest environment. The first debate refers to the development of real yields on household wealth from 2000 to 2018, whereas the second debate deals with the mean-variance efficiency of household portfolios. Contrary to widespread belief, we find that yields on total wealth, which were largely dominated by non-financial assets’ yields, were mostly positive, although they exhibit a declining trend. Moreover, on average, overall real yields were significantly lower after 2008. Referring to portfolio efficiency, we find that current portfolios seem to be comparatively close to mean-variance efficiency. If households were to optimize their portfolios despite limited room for improvement, holdings of equity and investment fund shares should be reduced, contradicting common recommendations of financial advisors.


Author(s):  
Joseph Zarka

Abstract The engineers have to face very important problems in the design, the test, the survey and the maintenance of their structures. These problems did not yet get full answer even from the best people in the world. Usually in these problems (such as no satisfactory constitutive modeling of materials, no real control of the accuracy of the numerical simulations, no real definition of the initial state and/or the effective loading of the structure), there is no solution and the experts do not understand the problem in its whole. Moreover, the available data may be not statistically representative (i.e. are in limited number), fuzzy, qualitative and missing in part. We propose a practical solution the «Intelligent Optimal Design of Materials and Structures» where the actual best knowledges of the researchers/experts are intelligently mixed to the results of experiments or real returns.


2006 ◽  
Vol 41 (1) ◽  
pp. 77-94 ◽  
Author(s):  
Charles P. Jones ◽  
Jack W. Wilson
Keyword(s):  
The Real ◽  

2009 ◽  
Vol 69 (4) ◽  
pp. 1107-1137 ◽  
Author(s):  
Graeme G. Acheson ◽  
Charles R. Hickson ◽  
John D. Turner ◽  
Qing Ye

This article presents a new series of monthly equity returns for the British stock market for the period 1825-1870. In addition to calculating capital appreciation and dividend yields, the article also estimates the effect of survivorship bias on returns. Three notable findings emerge from this study. First, stock market returns in the 1825-1870 period are broadly similar for Britain and the United States, although the British market is less risky. Second, real returns in the 1825-1870 period are higher than in subsequent epochs of British history. Third, unlike the modern era, dividends are the most important component of returns.


1976 ◽  
Vol 11 (1) ◽  
pp. 127 ◽  
Author(s):  
Cotton M. Lindsay

Author(s):  
Joseph Zarka

Abstract The engineers have to face very important problems in the design, the test, the survey and the maintenance of their structures. These problems did not yet get full answer even from the best people in the world. Usually in these problems (such as no satisfactory constitutive modeling of materials, no real control of the accuracy of the numerical simulations, no real definition of the initial state and/or the effective loading of the structure), there is no solution and the experts do not understand the problem in its whole. Moreover, the available data may be not statistically representative (i.e. are in limited number), fuzzy, qualitative and missing in part. We propose a practical solution the «Intelligent Optimal Design of Materials and Structures» where the actual best knowledges of the researchers/experts are intelligently mixed to the results of experiments or real returns. Several examples of applications are given in this serial set of papers to explain the real meaning and power of this approach.


Sign in / Sign up

Export Citation Format

Share Document