Time-varying conditional beta, return spillovers, and dynamic bank diversification strategies

Author(s):  
Lu Wang
2012 ◽  
Vol 11 (2) ◽  
Author(s):  
Rachmat Sudarsono ◽  
Suad Husnan ◽  
Eduardus Tandelilin ◽  
Erni Ekawati

Dual beta became a debate between researchers in finance especially investment and portfolio. This research test CAPM using dual beta predictions in conditional market timing. The research tested unconditional and conditional Beta, that showed linear and positive affect of return toward risk on single and multiperiods. The beta’s slope skewed but with moderate skewness, and there is no zero beta. However if the investors have les diversified portfolio, its show idiosyncratic risk and systematic risk determine the securities pricing model. Conditional beta test, showed positive slope for SML on bullish market, and negative for bearish market. There is also showed a shock to volatility because of leverage effect and or volatility feedback. The responsiveness of positive shock (bullish market) and negative (bearish market) is positive, however the magnitude of SML slope higher for bearish than bullish market. Dual beta remains consistent in explaining positive effect of risk and return. Dual beta able to reduce the idiosyncratic risk on bearish market rather than on bullish market.


Mathematics ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 2255
Author(s):  
Riza Demirer ◽  
Konstantinos Gkillas ◽  
Christos Kountzakis ◽  
Amaryllis Mavragani

This paper examines the role of non-cash flow factors over correlation jumps in financial markets. Utilizing time-varying risk aversion measure as a proxy for investor sentiment and the cross-quantilogram method applied to intraday data, we show that risk aversion captures significant predictive power over realized stock-bond correlation jumps at different quantiles and lags. The predictive relation between correlation jumps and time-varying risk aversion is found to be asymmetric, as we detect a heterogeneous dependence pattern across different quantiles and lag orders. Our findings underline the importance of non-cash flow factors over correlation jumps, highlighting the role of behavioral factors in optimal portfolio allocations and the effectiveness of diversification strategies.


Author(s):  
Thomas Appiah ◽  
Abednego Forson

Investors generally exhibit home bias with regards to their investment destinations. To diversify their portfolio, such investors invest in different sectors within the domestic economy. However, such behaviour could be counter-productive in periods of increased co-movement of assets returns.  In this paper, we examine the inter-sector stock return co-movement among the major sectors of the Ghanaian economy with the view to shedding some light on the nature of assets return correlations and its implications for portfolio diversification.  A sample of 332 weekly observations of stock returns of five major sectors within the Ghanaian economy is used to undertake the analysis. Dynamic Conditional Correlation - Generalized Autoregressive Conditional Heteroscedasticity (DCC-GARCH) techniques are applied to the weekly stock return series from January 2010 to June 2017. The DCC-GARCH model was estimated with correlation targeting and asymmetric DCC. We find dynamic conditional correlation among stock returns of all the sectors, implying that the correlation between the sector returns is time-varying. This result challenges the assumption of constant correlation among stock returns of different sectors in the domestic markets. We also find that the conditional correlation between returns of the various sectors ranges from 0.234 to 0.998, which indicates medium to very high interdependence among the stock returns. Based on the result of this study, we propose that fund managers and investors should not limit their diversification strategies to inter-sector investments since in periods of uncertainty, the ability of the investor to enjoy diversification benefits is seriously undermined.


2018 ◽  
pp. 71-91 ◽  
Author(s):  
I. L. Lyubimov ◽  
M. V. Lysyuk ◽  
M. A. Gvozdeva

Well-established results indicate that export diversification might be a better growth strategy for an emerging economy as long as its GDP per capita level is smaller than an empirically defined threshold. As average incomes in Russian regions are likely to be far below the threshold, it might be important to estimate their diversification potential. The paper discusses the Atlas of economic complexity for Russian regions created to visualize regional export baskets, to estimate their complexity and evaluate regional export potential. The paper’s results are consistent with previous findings: the complexity of export is substantially higher and diversification potential is larger in western and central regions of Russia. Their export potential might become larger if western and central regions, first, try to join global value added chains and second, cooperate and develop joint diversification strategies. Northern and eastern regions are by contrast much less complex and their diversification potential is small.


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