Search results

To satisfy the demand of initial investor for above-average capital return and the expectation of entrepreneurial management to establish their own business, this paper aims to explore a dynamic equity allocation model in which the shareholding ratio of the technology-based entrepreneurial firm changes with its growth and profit. Based on the dynamic equity allocation model, the authors design a financing structure which not only ensures timely and adequately obtaining the fund but also avoids equity dilution and safeguards the integrity of equity.

The paper selects high-tech companies listed in China as the sample for empirical research to identify the role of stock incentive and uses model deduction to find the equitable quantized benchmark for entrepreneurial management equity allocation. The study uses capital exclusivity as an entry point to perform theoretical analysis and demonstrates how the equity allocation of a technology-based entrepreneurial firm changes dynamically as the presentation speed of entrepreneurial management’s human capital exclusivity accelerates. The paper then constructs a conceptual model to design the financing structure of the technology-based entrepreneurial firm.

The study finds that stock incentive upwardly regulates debt financing and downwardly regulates equity financing. Based on characteristics of technology-based entrepreneurial firms, the paper suggests that the immediate surplus capital increment can signify the increasing presentation speed of human capital exclusivity, and it is proposed as an equitable quantized benchmark for equity allocation to entrepreneurial management. Based on the dynamic equity allocation model, the paper designs an internal equity and external debt financing structure.

The conclusions enrich the theoretical foundation for entrepreneurial management to participate in residual claim and provide practical guidance for equity allocation and financing structure design in the context of mass entrepreneurship and innovation. The paper also sets up a conceptual framework for solving two major issues of the technology-based entrepreneurial firm: timely acquisition of external funding and lasting maintenance of entrepreneurial management stability.

The purpose of this paper is to examine the possibility of creating hedge funds “clones” using liquid exchange traded instruments.

Authors analyze the performance of fixed weight and extended Kalman filter generated clone portfolios (EKF) for 14 hedge fund strategies from February 2004 to September 2009. EKF approach does not indeed impose any normality constraints on the error terms which allow the filter to find the optimal recursive process by itself. Such models could adjust even faster to sudden shifts in market conditions vs a standard Kalman filter.

For five strategies out of 14, this work finds that EKF clones outperform their corresponding indices. Thus, for certain strategies, the possibility of cloning hedge fund returns is indeed real. Results should be however considered with caution.

This paper suggests that the most important benefits of clones are to serve as benchmarks and to help investors to better understand the various risk factors that impact hedge fund returns.

Rather than using fixed‐weight and rolling windows approaches (as Hasanhodzic and Lo), this work considers an extended version of the Kalman filter, a computational algorithm that better captures the time changing dynamics of hedge fund returns. Also, in order to be practical, this research considers investable factors and that the models themselves could not be constant over time.

The purpose of this paper is to prove the effectiveness of minimum semi‐absolute deviations (MSAD) method in dynamic portfolio investment.

In financial investment, the classical static portfolio theory of Markowitz type lacks the dynamic adaptability to the changing market situations. This paper proposes a dynamic portfolio theory which uses MSAD criterion on a moving window to replace the Markowitz mean‐variance analysis.

Two specific models are developed to test the validity of the MSAD method: the first model constructs a portfolio consisting of Shanghai‐Shenzhen 300 Index and a national debt as two contrarian assets; the second model constructs a portfolio consisting of a complete set of 18 Chinese stock sector indices and a national debt. The empirical results of the test using six‐year monthly data (2005 to 2010) provide significant evidence that the MSAD method is valid, producing superior returns of investment over the stock index during the test period.

The findings in this study clearly highlight the validity of the MSAD method in determining the weights of assets in Chinese stock markets.

In order to resolve the problem of portfolio investment in Chinese stock markets, the MSAD method with stop loss control strategy can be used for investors to obtain the weights of assets and control the risk.

This study analyzes and verifies the effectiveness of the MSAD method in dynamic portfolio investment. The stop loss control strategy designed and used in the MSAD method is a pioneering and exploratory experiment.

The purpose of this paper is to address two questions: did adoption of Statements of Financial Accounting Standards No. 132(R) and No. 158 affect neutrality of the financial reporting with regard to the disclosed expected rate of return (ERR) on pension assets assumptions, and did pension asset allocations change in response to the new recognition and disclosure requirements?

The author uses several measures of association between reported expected return and pension assets allocations to assess neutrality of the reported ERR. The series of tests explores changes in correlations between asset allocations and expected rates of return and changes in the implied risk premiums following adoption of Statements No. 132(R) and No. 158. Granger causality analysis is used to explore the second research question: did pension asset allocations change in response to the new recognition and disclosure requirements?

The empirical results are consistent with improved neutrality of financial reporting following adoption of Standard No. 132(R). There were no detectable changes in neutrality following adoption of Standard No. 158. While the data are consistent with portfolio allocations changing to a greater degree than did expected rates of return following Statement No. 132(R) adoption, the effect appears short-lived.

The overall results are consistent with Standard 132(R) having a positive effect on the neutrality of the reported ERR. Also, there is no evidence of persistent and systematic structuring of transactions around preferred financial reporting outcomes.

The aim of this research is to explore multiscale hedging strategies among cryptocurrencies, commodities, and GCC stocks. Particularly, this is done by evaluating the connectedness among these asset classes covering a period with COVID-19 implications. Using the wavelet approach, the present study aims to recommend whether there exist different time horizon-based hedging abilities across the asset classes.

The approach used in this study is a multiscale decomposition of time series based on wavelets of daily prices of 13 asset classes. Since the wavelet analysis allows to decompose the time series into its frequency components at different time scales by a filtering process the study covered 1-day, 8-day, and 64-day time horizons to examine the hedging properties across those asset classes.

The results of this study show that hedging effectiveness differs among stock markets over time. In some cases, cryptocurrencies may keep their hedging properties across time while in others they switch from safe haven to hedge devices. In almost all cases, the three main cryptocurrencies showed diversifying properties as was observed by the multiscale correlation and hedge ratio estimations. In a competing sense, gold showed safe haven properties across time than cryptocurrencies except at an 8-day time scale where hedge ratios were low, positive and statistically different from zero that could be interpreted as a good hedge device in the medium term.

Though this research has considered a set of thirteen asset classes, it was limited to a period in which most cryptocurrencies started trading for the first time which reduces the number of observations compared to Bitcoin prices and stable coins such as Ethereum, Ripple, and Bitcoin Cash. Also, the research was focused on the GCC stock markets which may have different results as compared to other regional markets of Asia or Latin America. A comparative analysis in future could be another area of research in future.

This study has some significant policy implications. The cryptocurrency market is severely affected by demand and risk shocks to crude oil prices during the COVID-19 period. From the investor's point of view, diversification benefits can be obtained by combining cryptocurrencies along with oil-related products during episodes of financial turmoil and COVID-19 pandemic. The GCC region is constantly endeavoring to adopt more scientific tools and mechanisms of investment, and therefore, this study's results will provide some useful directions to the government, policymakers, financial institutions, and investors.

The current study covers a big bunch of 13 assets spanning across financial and real assets. This is based on literature gap and hence, will be a significant addition to the existing literature. Moreover, the GCC region is emerging as a global investment hub and this study will provide investors dynamic hedging strategies across these asset classes.

The purpose of this study is to examine justice perceptions using potential employee conflict over provision of a work‐life benefit, and to link the findings to existing theory and research in organizational justice.

A total of 208 undergraduates at a liberal arts college responded to a version of the scenario. There were six versions, representing varied organizational conditions, with hypotheses based on both theory and previous empirical work.

Students were asked whether they preferred equity (contribution), equality or need as the allocation norm to be used in the scenario. Under all organizational conditions, equity is favored over the other two norms, but some differences emerge. Organizational conditions that are less empowering and more stressful lead to higher preference for equality and need than when organizations are seen as treating employees well. In contrast with some earlier findings, women are more likely than men to prefer equity as the basis for the decision; but women's choices differ significantly between the long hours and family‐friendly scenarios, with a pronounced shift to need as the allocation norm in the long hours condition.

Although some researchers have examined organizational justice norms in relation to work‐life benefits, little attention has been shown to the mechanisms involved in creating perceptions of unfairness relative to these benefits. The study demonstrates the importance of organizational context in determining when these benefits may be perceived as being fair, thereby averting the potential for conflict between employees.

This article aims to explore three facets of the historical performance of a sample of actively managed unit trusts available to New Zealand investors: asset allocation, style analysis, and return attribution.

Because New Zealand does not require unit trusts to disclose their security holdings, the paper used returns‐based style analysis to infer how these trusts have allocated their funds among asset classes.

The research has found that, for unit trusts available to New Zealand investors, asset allocation can explain a significant amount of the differences in return across time and between trusts. Across time, asset allocation accounts for about 80 per cent of the variation in actual return. Between trusts, asset allocation explains about 60 per cent of the variation in returns. From either perspective, the choice of asset allocation is an important factor in explaining returns.

The paper suggests that active management barely earns its fees and that passive investments might do as well or better.

The purpose of this paper is to investigate the relationship between bank-specific characteristics and profitability in European banking sector to find the role of internal factors in achieving high profitability.

A regression analysis is built on an unbalanced panel data set comprising 175 observations of 35 top European banks over the period 2009-2013. To this end, the empirical data are collected from Bankscope and a comprehensive set of internal characteristics is examined.

All the determinant variables included in the model have statistically significant impacts on European banks’ profitability. However, the effects are not uniform across profitability measures. Regression findings reveal that size and capital ratio are significant company-level determinants of bank profitability in Europe, while higher loan loss provisions result in lower profitability levels. Findings also suggest that banks with higher deposits and loans ratio tend to be more profitable but the effects on profitability are statistically insignificant in some cases.

This study has considerable policy implications, as the performance of the European banking sector depends on its efficiency, profitability and competitiveness. In view of these findings, some suggestions may be functional for bank regulatory authorities to intensify and sustain robustness and stability of the banking sector.

The results provide interesting insights into the characteristics and practices of profitable banks in Europe. Few econometric studies have empirically explored the determinants of bank profitability in Europe so far, even though similar studies have been conducted in several developed countries. Therefore, this paper tries to close an important gap in the existing literature improving the understanding of bank profitability in Europe.

This article examines the link between the structure of the board of directors and target price accuracy using a sample of 51 listed firms on the Tunisian Stock Exchange over the period of 2011–2017.

In this study, the authors used the generalised method of moments (GMM) model to control the endogeneity problem.

As a result, that model can serve as a signal in the forecasting process. The authors' results suggest that target price accuracy is negatively related to board independence, and dual Chief Executive officer (CEO). In addition, CEO compensation tends to exert a negative impact on target price error.

The authors' findings are valuable for common investors because the findings can be useful in enhancing their capital allocation decisions by assigning higher weights to forecasts issued by firms with strong corporate governance systems. The authors' study also has practical implications for managers and policymakers. Specifically, the evidence provided herein suggests that firms with strong corporate governance mechanisms enhance the accuracy of market expectations, alleviate information asymmetry, and limit market surprises, especially in a context characterised by weak investor protection. The authors' results highlight the advantages of strong corporate governance in improving a firm's information environment and, therefore, are useful for the cost–benefit analysis of improving internal governance mechanisms. Additionally, the authors' results may prove useful to investors who can rely on the information provided by analysts for well-governed companies.

The authors' study contributes to the literature in both corporate governance and analysts' forecasts fields. The study provides additional evidence of the benefit of board quality attributes on target price accuracy in an emerging market characterised by high information asymmetry and weak investor protection. The authors' findings exhibit the effectiveness of board attributes in producing better financial information quality in Tunisia. This is useful for investors who may improve their capital allocation decisions by assigning greater weights to target price forecasts of companies with good governance quality, suggesting that good corporate governance is a credible signal of better financial information quality. These results have important implications for capital market regulators and corporate management in encouraging the implementation of good governance practices.

The authors attempted to assess whether corporate governance of listed firms are priced in the Tunisian context characterised by weak governance control and to highlight which mechanism is highly considered by independent financial analysts to build their forecasts.

In real estate industry, managers' choices in portfolio construction impact directly on the performance of real estate fund. Looking at the literature, real estate diversification criteria are related to tenants' characteristics, to endogenous and exogenous risk and to financial choices. The aim of the paper is to study the role of different risk profiles in the investment selection and in the construction of an efficient real estate portfolio.

The first step is to find out an investment selection model based on the main risk factors. The aim was to check the ability of qualitative criteria (tenant, exogenous, endogenous and financial risks) to identify ex ante the best investment opportunities. The observation of the portfolios' composition on the efficient frontier and the proximity of individual property to the efficient frontier point out which risk factors are more important. The second step is to define a model to construct a portfolio, with non correlated investments, based on the main risk factors. This ability was tested by comparing the classifications made according to quality criteria, which can potentially be used ex ante to construct a diversified portfolio, with the results of cluster analysis. The results from the cluster analysis, free from quality profiles, are therefore considered as the best diversification strategy.

The results stemming from the use of a real estate database supplied by Fimit SGR (Unicredit banking group) showed that an ex ante study of risk profiles can help to identify those investment opportunities which are more or less near to the efficient frontier, although there is no prevailing criterion to identify a portfolio able to maximise investment diversification benefits. To identify more efficient portfolio is necessary to define an evaluation approach that considers simultaneously different risk profiles of real estate investments.

The paper considers the Italian market, a young market for institutional real estate investments characterised by high growing opportunities. The value added of the paper is to study the relationship of different real estate specific risks considered in literature (tenant risk, endogenous and exogenous risk) and financing choices in order to define a more complete model to evaluate real estate portfolios.