Portfolio Strategies Based on Analysts' Consensus

Author(s):  
Enrico Maria Cervellati ◽  
Antonio Carlo Francesco Della Bina ◽  
Pierpaolo Pattitoni
Keyword(s):  
2002 ◽  
Vol 32 (1) ◽  
pp. 171-197 ◽  
Author(s):  
Gyöngyi Bugár ◽  
Raimond Maurer

AbstractIn this paper we study the benefits derived from international diversification of equity portfolios from the German and the Hungarian points of view. In contrast to the German capital market, which is one of the largest in the world, the Hungarian Stock Exchange is an emerging market. The Hungarian stock market is highly volatile, high returns are often accompanied by extremely large risk. Therefore, there is a good potential for Hungarian investors to realise substantial benefits in terms of risk reduction by creating multi-currency portfolios. The paper gives evidence on the above mentioned benefits for both countries by examining the performance of several ex ante portfolio strategies. In order to control the currency risk, different types of hedging approaches are implemented.


2011 ◽  
Vol 11 (1) ◽  
pp. 125
Author(s):  
Glen A. Larsen, Jr. ◽  
Gregory D. Wozniak

A discrete regression model (DRM) approach to timing the asset class markets for stocks, bonds, and cash in active asset allocation is presented. The technique involves investing in the asset class whose return is predicted to exceed the other asset class return after observing a sequential signal of estimated probabilities. The empirical results show that the DRM approach provides enhanced portfolio performance when compared to more passive fixed-weight portfolio strategies.


2016 ◽  
Vol 8 (3) ◽  
pp. 254-268 ◽  
Author(s):  
Shu-Hao Chang ◽  
Hsin-Yuan Chang

Purpose The development of oil shale has become a popular technique in the energy industry in recent years. Although more research attention has been paid to this topic, there are scanty studies on patent portfolios. This study aims to explore this current mainstream technique and the patent portfolios of oil shale developers and investigates the major assignees at present to find the technical development trend of oil shale as a reference for government, policy makers, investors and industrial strategic development. Design/methodology/approach This study applies correspondence analysis and K-means clustering analysis on data mining and probes into the competitive techniques and strategic groups of the main enterprises in the oil shale industry. In addition, by approval dates, this study analyzes technical directions and the development trends of the current main oil shale enterprises. Findings The findings show differences in the enterprises regarding technical positions and patent portfolio strategies. Originality/value Differential positioning analysis suggests the relative technical advantages of the various enterprises and evaluates the competition among oil shale enterprises.


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