Forecast of realized covariance matrix based on asymptotic distribution of the LU decomposition with an application for balancing minimum variance portfolio

We derive the asymptotic distribution for the LU decomposition, that is, the Cholesky decomposition, of realized covariance matrix. Distributional properties are combined with an existing generalized heterogeneous autoregressive (GHAR) method for forecasting realized covariance matrix, which will be referred to as a generalized HARQ (GHARQ) method. An out-of-sample forecast comparison of a real data set shows that the proposed GHARQ method outperforms other existing methods in terms of optimizing the variances of portfolios.     

The effect of investment and withdrawal horizons on myopic loss aversion

Using unique survey data, we find that a longer investment horizon (6–10 years and 11+ years) reduces the likelihood of exhibiting myopic loss aversion (MLA) compared to an investment horizon of less than 2 years. In addition, we find that investors with higher levels of assets under management (AUM) are less likely to exhibit MLA compared to the lowest AUM quartile.     

领导力在项目组合管理中的影响研究

项目组合是连接战略和项目的桥梁。区别于以往有关项目管理中领导力的研究,针对高管和项目经理两种层次的领导角色,界定了领导力的内涵,从战略视角出发构建了领导力对项目组合绩效的影响作用模型,并运用偏最小二乘法和实证方法对理论模型进行检验。研究结果表明,高管及项目经理的领导力均对项目绩效、组合绩效有积极的影响,但项目绩效对组合绩效的作用并不显著。结论强化了领导力在项目组合管理中的关键作用,为研究组合绩效的提升机制提供了新的思路和方法。     

国内证券投资基金组合规模与风险关系的实证研究

本文选取2010年7月10日—2012年2月29日之间基金的数据,运用证券投资组合模型对国内各种类型的证券投资基金进行风险与组合规模关系的研究,结果发现,随着组合规模的增大,风险逐渐减少,当规模增大的一定程序,风险趋于一稳定值,不同类型的证券投资基金有着不同的最优组合规模。     

中澳自由贸易区建设可行性浅析

从中澳之间货物贸易、服务贸易的角度对中澳自由贸易区建设的可行性进行简要分析。首先对中澳贸易强度指数及显性比较优势指数的测算,证实了中澳双方的贸易发展主要建立在产业间贸易的基础上的,产业间具有很强互补性。其次,分析了目前中澳双边服务贸易的特点及发展趋势。最后,为进一步推进中澳自贸区建设提出相关建议。     

The role of tourism management in adaptation to climate change – a study of a European inland area with a diversified tourism supply

The Carpathian Basin is one of the most vulnerable European regions in terms of potential climate change impacts on biodiversity. Its wide range of tourism activities make it uniquely suitable for assessing the effects of climate change on tourism. This research sought to create a Tourism Adaptation Portfolio (TAP) for the Szentendre micro-region in Hungary and to assemble an adaptation toolbox for current and future use by tourism organizations. The TAP contains practical, easy to implement solutions for key stakeholders in the sector by adaptation type (technology, management, behavior, education, policy). Surveys of local tourism suppliers showed that 70% said they were well informed, largely by the Internet, but 55% admitted to not knowing enough. The methodology outlined here is transferable and the process can be replicated elsewhere, supporting other regions in becoming climate-friendly tourism destinations, creating opportunities for uniquely positioning a region for consumers. The article provides a concise overview of tourism provider attitudes assessed through a questionnaire, shedding light on points of intervention, willingness to pay, main barriers and suitable adaptation instruments. The adaptive capacity of stakeholders is also discussed, which is indispensable for implementing successful practices in adaptation and maintaining the current level of environmental services.     

Analyst Firm Coverage and Forecast Accuracy: The Effect of Regulation Fair Disclosure

In this study, we revisit the relationship between analyst firm coverage and forecast accuracy. In contrast to the proposed negative association in Clement (1999) owing to the portfolio complexity effect, we hypothesize an ‘economy‐of‐scale effect’ that is likely to dominate when analysts rely mostly on public information. In support of the latter effect, we find a positive association between firm coverage and forecast accuracy after the enactment of Regulation Fair Disclosure (Reg FD), which substantially reduces the flow of material private information to analysts. Such a result survives a battery of robustness analyses. We further show that, in the post‐Reg FD period, covering more firms increases an analyst's probability of being selected as a star analyst in the subsequent year. Overall, our findings highlight the importance of the information environment in shaping the economic link between an analyst's firm coverage and forecast accuracy.     

Exploring Portfolio Diversification Opportunities Through Venture Capital Financing: Evidence from MGARCH-DCC,Markov Switching,and Wavelet Approaches

Islamic financial institutions are being pressurized by critics to offer profit and loss sharing (PLS) financing, such as venture capital (VC) financing, for the purpose of entrepreneurial development aligned to the principle of equity risk sharing. Our study aims to link PLS investments with portfolio optimization opportunities for the Islamic asset managers. Using portfolio analysis with dynamic conditional correlation, Markov switching, and maximal overlap discrete wavelet transformation, our findings tend to indicate that there is indeed a portfolio optimization opportunity in investment universe for the fund managers who invested in PLS investments in the context of VC asset class over the long run.     

Price Linkages in Asian Equity Markets: Evidence Bordering the Asian Economic, Currency and Financial Crises

This paper examines price linkages among Asian equity markets in the period surrounding the recent Asian economic, financial and currency crises. Three developed markets (Hong Kong, Japan and Singapore) and six emerging markets (Indonesia, Korea, Malaysia, the Philippines, Taiwan and Thailand) are included in the analysis. Multivariate cointegration and level VAR procedures are conducted to examine causal relationships among these markets. The results indicate that there is a stationary relationship and significant causal linkages between the Asian equity markets. Nevertheless, lower causal relationships that exist between the developed and emerging equity markets suggest that opportunities for international portfolio diversification in Asian equity markets still exist.     

The effect of corruption on microfinance loan portfolio: A semiparametric analysis

In this paper, we examine the extent to which corruption affects the loan portfolio of microfinance institutions (MFIs). We employ robust econometric estimation on a sample of 507 MFIs across 63 countries from 2005 to 2018. Our results show that corruption is negatively associated with the loan portfolio. However, in semiparametric analysis, we find that lower-level corruption is beneficial to increase the loan portfolio while higher-level corruption is detrimental. The results imply that it is not just corruption that matters as far as its effect on MFIs' loan portfolio is concerned; what matters is the degree of corruption. In further analyses, we find that corruption reduces both the number of active borrowers and average loan per borrower indicating that corruption reduces both coverage and amount of credit extension. The results suggest that the effect of corruption on the loan portfolio is gender-sensitive. Corruption facilitates an increase in loans to female borrowers. Our results are robust to alternative variable measurements and different identification strategies, including two-stage least square.