Analysing Systemic Risk in the Chinese Banking System

We examine systemic risk in the Chinese banking system by estimating the conditional value at risk (CoVaR), the marginal expected shortfall (MES), the systemic impact index (SII) and the vulnerability index (VI) for 16 listed banks in China for the 2007–2014 period. We find that these measures show different patterns, capturing different aspects of systemic risk of Chinese banks. However, rankings of banks based on these measures are significantly correlated. The time‐series results for the CoVaR and MES measures suggest that systemic risk in the Chinese banking system decreased after the global financial crisis but started rising in 2014.     

Semi-analytical prices for lookback and barrier options under the Heston model

Decisions in Economics and Finance - Under the Heston stochastic volatility model, we derive semi-analytical formulas for the prices of path-dependent options with payoffs linked to the maximum or...     

Commodity Price Volatility and the Sources of Growth

This paper studies the impact of the growth and volatility of commodity terms of trade (CToT) on economic growth, total factor productivity, physical capital accumulation and human capital acquisition. We use the standard system generalized methods of moments (GMM) approach as well as the dynamic common correlated effects pooled mean group (CCEPMG) methodology for estimation to account for cross‐country heterogeneity, cross‐sectional dependence and feedback effects. Using both annual data for 1970–2007 and 5‐year non‐overlapping observations, we find that while CToT growth enhances real output per capita, CToT volatility exerts a negative impact on economic growth operating mainly through lower accumulation of physical and human capital. Productivity, however, is not affected by either the growth or the volatility of CToT. Our results also indicate that the negative growth effects of CToT volatility offset the positive impact of commodity booms. Therefore, we argue that volatility, rather than abundance per se, drives the ‘resource curse’ paradox. Copyright © 2014 John Wiley & Sons, Ltd.     

Environmental Innovations and Internationalization: Theory and Practices

Based on original data on Italian firms specializing in medium‐ and low‐tech industries, we study the relationship between firms’ upstream and downstream internationalization and their propensity to introduce products or processes that reduce environmental impact. Preliminary evidence suggests that geography plays an important role in green firms’ activities and supply chains. More precisely, results suggest that firms that outsource to and rely on non‐local suppliers are less likely to engage in environmental innovations. Moreover, we verify that firms engaged in export activities play a similar and negative role, regardless of the export intensity and typology of foreign markets (i.e. developed versus emerging). Tapping global flows of knowledge by being a part of a multinational group positively spurs the development of green innovations, as for FDIs. Copyright © 2014 John Wiley & Sons, Ltd and ERP Environment     

Order-invariant tests for proper calibration of multivariate density forecasts

Established tests for proper calibration of multivariate density forecasts based on Rosenblatt probability integral transforms can be manipulated by changing the order of variables in the forecasting model. We derive order-invariant tests. The new tests are applicable to densities of arbitrary dimensions and can deal with parameter estimation uncertainty and dynamic misspecification. Monte Carlo simulations show that they often have superior power relative to established approaches. We use the tests to evaluate generalized autoregressive conditional heteroskedasticity-based multivariate density forecasts for a vector of stock market returns and macroeconomic forecasts from a Bayesian vector autoregression with time-varying parameters.     

New ventures in Cleantech: Opportunities,capabilities and innovation outcomes

Facing the challenge of climate change, innovations that imply environmental benefits create business opportunities for entrepreneurs. This paper analyzes innovation capabilities of startups in Cleantech and how the innovation outcomes of those startups develop over time. Based on the Mannheim Foundation Panel and applying propensity score matching, a cohort of 567 Cleantech startups is analyzed and compared with a control cohort of non‐Cleantech startups. We find that startups in Cleantech have, on average, higher technological capabilities compared with all other startups. Our econometric evidence shows that Cleantech startups are more likely to combine existing technology in a novel way. Finally, we find that Cleantech startups develop more market novelties in subsequent years when compared with their control group peers.     

When companies improve the sustainability of the natural environment: A study of large U.S. companies

In light of the call for companies to abandon current approaches to environmental management, this study adds to the environmental strategy literature and uses the evidence of competitive dynamics among companies to identify a mechanism by which companies invest in proactive environmental strategies and thereby improve the sustainability of the natural environment. An examination utilizing fixed effects regressions on a sample of large U.S.‐based companies reveal that even after controlling the number, environmental and financial performance of leading (environmental) companies, laggard (environmental) companies are more likely to invest in proactive environmental strategies when their leading peers display higher sustainability orientations. Neither the expectation of government regulation nor social movement pressure was found to be influential in this relationship. Therefore, the future dominance of companies' investments in the sustainability of the natural environment will be driven by companies themselves as long as competitive advantages are expected.     

均衡性转移支付、公共支出结构与经济高质量发展

本文首先从理论层面系统阐述均衡性转移支付、公共支出结构与经济增长质量三者之间的多重作用机制。其次立足“五大发展理念”构建综合指标体系对经济增长质量展开测度，本文发现我国地方经济增长质量虽然在整体上呈缓慢上升态势，但其绝对水平相对偏低，且具有较为明显的地区异质性。最后本文通过构建动态面板联立方程模型与采取三阶段最小二乘法进行实证考察，结果表明：地方政府公共支出结构与经济增长质量显著正相关，但均衡性转移支付与经济增长质量的正相关关系并不显著。标准化回归结果显示均衡性转移支付能够通过优化公共支出结构对地方经济增长质量产生间接提升效应。     

Antecedents to Decision‐Making Quality and Agility in Innovation Portfolio Management

Innovation portfolio management (IPM) is a dynamic decision‐making process, in which projects are evaluated and selected, and resources are allocated. Previous research has developed an understanding of IPM success and its influencing factors. However, little research investigated the quality of the decision‐making process and the ability to quickly adapt the portfolio. This study focuses on the antecedents of decision‐making quality and agility (i.e., responsiveness to changes in the environment). Based on a decision‐making framework, five structural and cultural IPM components are derived as important antecedents of decision‐making quality, which in turn influences agility. The structural components (1) clarity of strategic goals, (2) formality of the IPM processes, and (3) controlling intensity serve a coordinating function. The cultural components (4) innovation climate and (5) risk climate serve a motivating function in IPM. An analysis of a sample of 179 firms and their innovation portfolios through structural equation modeling using a double‐informant design documents that these five components all positively influence portfolio decision‐making quality, which in turn positively influences agility. Results further show that environmental turbulence moderates some of these relationships. While the positive effect of process formality is weakened under increasing turbulence, the effects of controlling intensity and climate for innovation are strengthened by environmental turbulence. The findings have theoretical implications for the understanding of IPM as a dynamic capability and practical implications for the management of portfolios in turbulent environments.