高科技企业研发投入同群效应研究

探讨高科技企业研发投入的同群效应，特别是企业面临的市场环境不确定性，以及体现制度环境的知识产权保护对高科技企业研发投入同群效应的影响。实证分析沪深A股2009—2017年高科技上市公司数据，结果表明：①高科技企业研发投入存在显著的同群效应；②环境不确定性显著负向调节高科技企业研发投入的同群效应，即环境不确定性弱化了企业研发投入的行业趋同；③知识产权保护显著正向调节高科技企业研发投入的同群效应，即知识产权保护强化了企业研发投入的行业趋同。结论丰富了企业研发投入同群效应研究成果，为考察企业所处外部市场与制度环境对企业研发投入同群效应的影响提供了新视角。     

技术创业型企业孵化资本投入的风险管控——来自多案例对比

待孵化的技术创业型企业同时具有概念性技术向差异化产品转化的高风险与产品异质性被认同后溢价评估的高收益特点，导致其投资者多处于隔岸观火却欲罢不能的的孵化投资矛盾中。对孵化资本实施有效的风险管控，成为吸引外部资本投入的关键。基于此，选择在可创概念选育与技术创业孵化领域探索出高成功率路径的概念证明中心、YCombinator和创新工场为研究案例，分析其在创业项目筛选、孵化资金运营等关键环节的风险管控方式，以期完善我国孵化资本管控理论、助力我国商业孵化器提高资金风险管控能力、促进外部资本投入。     

The digital transformation of business models in the creative industries: A holistic framework and emerging trends

This paper examines how digital technologies facilitate business model innovations in the creative industries. Through a systematic literature review, a holistic business model framework is developed, which is then used to analyse the empirical evidence from the creative industries. The research found that digital technologies have facilitated pervasive changes in business models, and some significant trends have emerged. However, the reconfigured business models are often not ‘new’ in the unprecedented sense. Business model innovations are primarily reflected in using digital technologies to enable the deployment of a wider range of business models than previously available to a firm. A significant emerging trend is the increasing adoption of multiple business models as a portfolio within one firm. This is happening in firms of all sizes, when one firm uses multiple business models to serve different markets segments, sell different products, or engage with multi-sided markets, or to use different business models over time. The holistic business model framework is refined and extended through a recursive learning process, which can serve both as a cognitive instrument for understanding business models and a planning tool for business model innovations. The paper contributes to our understanding of the theory of business models and how digital technologies facilitate business model innovations in the creative industries. Three new themes for future research are highlighted.     

Islamic and conventional portfolios optimization under investor sentiment states: Bayesian vs Markowitz portfolio analysis

This paper investigates the portfolio optimization under investor’s sentiment states of Hidden Markov model and over a different time horizon during the period 2004–2016. To compare the efficient portfolios of the Islamic and the conventional stock indexes, we have employed two approaches: the Bayesian and Markowitz mean-variance. Our findings reveal that the Bayesian efficient frontier of Islamic and conventional stock portfolios is affected by the investor’s sentiment state and the time horizon. Our findings also indicate that the investor’s sentiment regimes change the Islamic and the conventional optimal diversified portfolios.Moreover, the results show that the potential diversification benefits seem to be more important when using the Bayesian approach than when applying the Markowitz approach. This finding is valid for the bearish, depressed, bullish and calm states in Islamic stock markets. However, the diversification of potential portfolios is significant only for the bullish and the bubble states in the conventional financial markets.The findings of the study provided additional evidence for investors to exploit googling investor sentiment states to evaluate the portfolio performance and make an optimal portfolio allocation.     

Fire sales by euro area banks and funds: What is their asset price impact?

The assets under management of investment funds have soared in recent years, triggering a debate on their possible implications for financial stability. We contribute to this debate assessing the asset price impact of fire sales in a novel partial equilibrium model of euro area funds and banks calibrated over the period between 2008 and 2017. An initial shock to yields causes funds to sell assets to address investor redemptions, while both banks and funds sell assets to keep their leverage constant. These fire sales generate second-round price effects. We find that the potential losses due to the price impact of fire sales have decreased over time for the system. The contribution of funds to this impact is lower than that of banks. However, funds’ relative contribution has risen due to their increased assets under management and banks’ lower leverage and rebalancing towards loans. Should this trend continue, funds will become an increasingly important source of systemic risk.     

Third-party certification and post-IPO acquisitions

ABSTRACT

We explore the link between third-party certification (venture capital backing, analyst following and having a top underwriter), and post-IPO acquisition activity through the reduction in valuation uncertainty channel. In a sample of 2,424 U.S. IPOs, we find that third-party certification facilitates post-IPO acquisitions. The certified firms are both more likely and conduct acquisitions sooner after the IPO. Our results support the notion that third-party certification reduces post-IPO valuation uncertainty and thereby facilitates a more efficient acquisition strategy.     

Personalized goal-based investing via multi-stage stochastic goal programming

In this paper, we propose a goal-based investment model that is suitable for personalized wealth management. The model only requires a few intuitive inputs such as size of wealth, investment amount, and consumption goals from individual investors. In particular, a priority level can be assigned to each consumption goal and the model provides a holistic solution based on a sequential approach starting with the highest priority. This allows strict prioritization by maximizing the probability of achieving higher priority goals that are not affected by goals with lower priorities. Furthermore, the proposed model is formulated as a linear program that efficiently finds the optimal financial plan. With its simplicity, flexibility, and computational efficiency, the proposed goal-based investment model provides a new framework for automated investment management services.     

Maximizing an equity portfolio excess growth rate: a new form of smart beta strategy?

It has been claimed that, for dynamic investment strategies, the simple act of rebalancing a portfolio can be a source of additional performance, sometimes referred to as the volatility pumping effect or the diversification bonus because volatility and diversification turn out to be key drivers of the portfolio performance. Stochastic portfolio theory suggests that the portfolio excess growth rate, defined as the difference between the portfolio expected growth rate and the weighted-average expected growth rate of the assets in the portfolio, is an important component of this additional performance (see Fernholz [Stochastic Portfolio Theory, 2002 (Springer)]). In this context, one might wonder whether maximizing a portfolio excess growth rate would lead to an improvement in the portfolio performance or risk-adjusted performance. This paper provides a thorough empirical analysis of the maximization of an equity portfolio excess growth rate in a portfolio construction context for individual stocks. In out-of-sample empirical tests conducted on individual stocks from 4 different regions (US, UK, Eurozone and Japan), we find that portfolios that maximize the excess growth rate are characterized by a strong negative exposure to the low volatility factor and a higher than 1 exposure to the market factor, implying that such portfolios are attractive alternatives to competing smart portfolios in markets where the low volatility anomaly does not hold (e.g. in the UK, or in rising interest rate scenarios) or in bull market environments.     

How much does tax erode fund excess returns?

We model the tax drag from active fund management based on reported monthly holdings of active equity funds. Tax drag erodes 65 percent of the 0.74 percent excess return in Broad Market funds, but only 21 percent of the 1.80 percent excess return in Small-Cap funds for Australian superannuation (pension) fund investors. Tax drag varies with investment style; market state, which is most detrimental during bull markets; and fund turnover. For high-income individual investors, tax drag is exacerbated to the extent that active management only generates meaningful after-tax excess return for Small-Cap funds of certain styles.     

Measuring the deadly embrace: Systemic and sovereign risks

This study contributes to the literature by making a first step toward implementing a comprehensive internally coherent measurement of systemic risk in a country. It measures systemic risk and the ensuing conditional contingent liabilities of the sovereign stemming from Luxembourg’s Other Systemically Important Institutions (OSIIs), the Global Systemically Important Banks (G-SIBs) to which they belong, the investment funds sponsored by the OSIIs, the household and the non-financial corporate sectors. The ensuing estimated systemic contingent claims are included in a stochastic version of the general government’s balance sheet to gauge their impact on the country’s sovereign risk. Results indicate that time-varying conditional implicit guarantees from OSSIs are larger than those from G-SIBs and investment funds, while systemic risk stemming from the household and non-financial corporate sectors is moderate. The robustness of the sovereign is not drastically affected by systemic risk stemming from the rest of the economy. However, illustrating the so-called “deadly embrace”, sovereign risk would significantly rise as a result of a historically plausible increase in sovereign assets’ value volatility combined with an economy-wide shock. The main policy implication is that financial stability stands on two columns, a resilient financial sector and a sustainable fiscal position.