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The recent development of the European debt sovereign crisis showed that sovereign debt is not “risk free.” The traditional index bond management used during the last two decades such as the market-capitalization weighting scheme has been severely called into question. In order to overcome these drawbacks, alternative weighting schemes have recently prompted attention, both from academic researchers and from market practitioners. One of the key developments was the introduction of passive funds using economic fundamental indicators.

In this chapter, the authors introduced models with economic drivers with an aim of investigating whether the fundamental approaches outperformed the other models on risk-adjusted returns and on other terms.

The authors did this by constructing five portfolios composed of the Eurozone sovereigns bonds. The models are the Market-Capitalization RP, GDP model RP, Ratings RP model, Fundamental-Ranking RP, and Fundamental-Weighted RP models. These models were created exclusively for this chapter. Both Fundamental models are using a range of 10 country fundamentals. A variation from other studies is that this dissertation applied the risk parity concept which is an allocation technique that aims to equalize risk across different assets. This concept has been applied by assuming the credit default swap as proxy for sovereign credit risk. The models were run using the Generalized Reduced Gradient (GRG) method as the optimization model, together with the Lagrange Multipliers as techniques and the Karush–Kuhn–Tucker conditions. This led to the comparison of all the models mentioned above in terms of performance, risk-adjusted returns, concentration, and weighted average ratings.

By analyzing the whole period between 2006 and 2014, it was found that both the fundamental models gave very appealing results in terms of risk-adjusted returns. The best results were returned by the Fundamental-Ranking RP model followed by the Fundamental-Weighting RP model. However, better results for the mixed performance and risk-adjusted returns were achieved on a yearly basis and when sub-dividing the whole period in three equal periods. Moreover, the authors concluded that over the long term, the fundamental bond indexing triumphed over the other approaches by offering superior return and risk characteristics. Thus, one can use the fundamental indexation as an alternative to other traditional models.

This chapter is a contribution to a recent restricted literature dealing with the return of microfinance investment in the financial markets. We study the performance of public microfinance investment vehicles (MIVs). Microfinance is an asset class with a double bottom line: social and financial returns have to be generated. Despite a significant currency risk, we find that the integration of microfinance assets diversifies the investor’s risks and improves the efficient frontier. We conclude that microfinance institutions, via investment vehicles, are likely to attract capital from socially responsible investors seeking new investment opportunities.

This paper investigates the capital structure of a large sample of U.S. private firms from 2004 to 2013. There is a considerable heterogeneity in private firm capital structure not only in terms of the level of leverage but also with regard to the issuance of specific debt instruments. Leverage, debt type usage, and debt specialization are dynamic and strongly related to observable firm characteristics largely in support of contract theory. Unobservable firm and industry characteristics are strong determinants of leverage levels and debt specialization. Macro credit conditions are not related to private firm leverage but are strong determinants of the degree to which firms diversify their debt capital structures.

This paper focuses on the impact of country and sector effects in Asia Pacific equity market returns. Our study concludes that Asia Pacific market returns are mainly driven by country effects. Accordingly, country diversification is the most useful tool for managing portfolio risk. Recent evidence from developed markets indicates that country effect is no longer dominant and that sector exposure is of increasing significance in managing portfolio risk. We observed the same phenomenon; the difference is that it happened after the crisis period, not during the period as observed in the previous study.

I survey applications of Markov switching models to the asset pricing and portfolio choice literatures. In particular, I discuss the potential that Markov switching models have to fit financial time series and at the same time provide powerful tools to test hypotheses formulated in the light of financial theories, and to generate positive economic value, as measured by risk-adjusted performances, in dynamic asset allocation applications. The chapter also reviews the role of Markov switching dynamics in modern asset pricing models in which the no-arbitrage principle is used to characterize the properties of the fundamental pricing measure in the presence of regimes.