International Housing Markets and the U.S. Subprime Crisis

We propose a novel decomposition approach to study the degree of co-movement of international housing markets while distinguishing among different economic drivers. We find that the housing market variability for an average country was mainly driven by the common housing risk premium components during the years leading up to the 2007–08 subprime financial crisis. A decrease in the common housing risk premium was followed by a housing boom and economic expansion in the United States prior to the crisis. Our findings add to the understanding of the role of common risk factors across international housing markets before the crisis.     

Investor sentiment and the risk–return relation: A two-in-one approach

Traditional finance theory posits a positive risk–return relation, but empirical evidence is inconclusive. Retail investor sentiment has long been viewed as a distorting factor, while more recently institutional investor sentiment is thought to play a role. We examine the separate and joint impacts of retail and institutional investor sentiments on the risk-return relation. We find, at both market and firm levels, the risk-return relation is more likely to be distorted by the two investor-type sentiments jointly, rather than separately. We further find a cross-sectional pattern, with the risk-return relation being more sensitive to investor sentiment for stocks with specific characteristics.     

Prices and factor demand in an endogenized input–output model

This paper combines factor demand functions (for intermediate input and labour) and price equations (derived from a Generalized Leontief cost function) with the traditional input–output price model. The cost functions determine factor demands for materials and labour as well as output prices at given input prices. At the second level of aggregation, the intermediate demand as a single input is split proportional to the elements in the column of the technical coefficients matrix. The emphasis in this endogenization of technical coefficients is on two features. First, the repercussion of output on input prices, and, second, the link between the econometric model for the supply side and the input–output demand model.     

Governance for climate-change adaptive capacity in the Swedish electricity sector

Abstract

This article analyses the capacity for climate change adaptation (CCA) in the Swedish electricity grid sector. Utilizing two perspectives from organization theory it directs attention to changes in the sector, from the 1980s until 2010, with radical change with an NPM-reform in 1996. For the time before 1996 findings indicate a high CCA capacity. The reform led to a reduction in this capacity through an increased emphasis on economic efficiency, although there also has been some room for robustness-considerations. This article shows that organizational culture and formal structure influence the capacity to adapt to climate change.     

The antecedents of direct management communication to employees in Mauritius

We measure whether, in a developing country, existence of a ‘hard’ strategic human resource management (SHRM) strategy developed at high organizational levels or one designed to enhance employee knowledge inputs and thereby promote employer–employee interdependence (EEIN) is a stronger antecedent of direct communication to employees. We use data from a comprehensive survey of HR practices in Mauritius, one of Africa's most open and successful economies. We find that both SHRM and EEIN are antecedents, but that the latter is stronger in public organizations and in smaller and older companies. We conclude that EEIN is a significant analytic category for explaining management practices especially in a historic sense in this and possibly other developing country contexts.     

Dynamic advertising and pricing with constant demand elasticities

In this paper we analyze a stochastic dynamic advertising and pricing model with isoelastic demand. The state space is discrete, time is continuous and the planing horizon is allowed to be finite or infinite. A dynamic version of the Dorfman–Steiner identity will be derived. Explicit expressions of the optimal advertising and pricing policies, of the value function and of the optimal advertising expenditures will be given. The general results will be used to analyze the case of impatient customers. Furthermore, particular time inhomogeneous models and homogeneous ones with and without discounting will be examined. We will study the social efficiency of a monopolist's optimal policies and the consequences of specific subsidies. From a buyer's perspective, our analysis reveals that waiting – when looking at (immediate) expected prices – is never profitable should two or more units be available. But we will also prove that the sequence of average sales prices is monotone decreasing. Moreover, the techniques applied to solve the discrete stochastic advertising and pricing problem will be used to solve a related deterministic control problem with continuous state space.     

Integrating decomposition approaches for the analysis of temporal changes in economic structure: an application to Chicago's economy from 1980 to 2000

This paper presents an attempt to integrate two flow decomposition methods to analyse temporal changes in a region's economic structure. The two methods of structural analysis are push–pull decomposition analysis and structural Q-analysis. Push–pull analysis presents a quasi-optimization decomposition of a set of matrices with actual intersectoral economic flows into a weighted set of matrices, while structural Q-analysis provides a form in which the structure of these decomposed flows can be considered. The paper provides an expository application to Chicago's economic structure over the period of 1980 to 2000, to reveal a complementary perspective of hollowing-out the production process in the Chicago economy that was identified in previous studies.     

Updating Input–Output Tables with Benchmark Table Series

Numerous methods have been proposed to update input–output (I–O) tables. They rely on the assumption that the economic structure will not change significantly during the interpolation period. However, this assumption may not always hold, particularly for countries experiencing rapid development. This study attempts to combine forecasting with a matrix transformation technique (MTT) to provide a new perspective on updating I–O tables. Under the assumption that changes in the trend of an economic structure are statistically significant, the method extrapolates I–O tables by combining time series models with an MTT and proceeds with only the total value added during the target years. A simulation study and empirical analysis are conducted to compare the forecasting performance of the MTT to the Generalized RAS (GRAS) and Kuroda methods. The results show that the comprehensive performance of the MTT is better than the performance of the GRAS and Kuroda methods, as measured by the Standardized Total Percentage Error, Theil's U and Mean Absolute Percentage Error indices.     

Factor pricing of cryptocurrencies

In this paper, we study the cryptocurrency pricing factors. We review the literatures which state that the cryptocurrency market is weakly efficient. We use the Fama–MacBeth method to investigate the pricing factors. The classical equity-based risk factors including size, momentum, and value to growth from the Fama–French three factor model are studied. We use crypto-unique coin-to-token as a proxy for value-to-growth. For volatility risk factor category, we investigate realized volatility, skewness and jump. We also investigate liquidity factors including bid–ask, volume growth and Roll’s measure. The macro factors are found not to be an explanatory factor. The attention factor works sometimes. The factor model constructed by the significant factors explain most of the excess return of cryptocurrencies.     

Examining the extent of and determinants for sustainability assurance quality: The role of audit committees

This study examines the extent of and determinants for sustainability assurance quality. Data comprise sustainability assurance statements published by the top 100 listed companies in Australia and New Zealand from 2017 to 2019. The findings indicate that Australian companies lead their New Zealand counterparts in sustainability assurance. Although sustainability reporting has risen, assurance rates remain significantly low. Accountants dominate the market, and companies prefer to use their own auditors for sustainability assurance work. Sustainability assurance quality is poor and does not vary significantly among Australian and New Zealand companies. Low-quality sustainability assurance plays a limited role in mitigating potential stakeholder–agency conflicts. The regression analysis indicates that audit committee characteristics such as members' independence, industry/market expertise, and attending meetings enhance sustainability assurance quality, whereas audit committee size has no affect. These findings suggest that audit committee characteristics such as independence, industry expertise, and regular meeting attendance have the potential to reduce stakeholder–agency conflicts by improving the quality of sustainability statement assurance. Our findings build on the sustainability assurance literature by exploring current trends in sustainability assurance practices in Australia and New Zealand where corporate governance codes have been recently revised. Further, these findings are timely given recent changes in standards (International Standard on Assurance Engagements [ISAE] 3000 and Global Reporting Initiative [GRI]). Our study contributes to the audit committee literature and sheds light on the role played by audit committee characteristics on sustainability assurance statement quality. The study findings potentially offer useful insights for practitioners, standard setters, and regulators.