External Monitoring of Property Appraisal Estimates and Information Asymmetry

Finance theory proposes that firms' cost of capital increases when market makers set wider spreads due to perceived higher information asymmetry across traders. Using a sample of UK investment property firms and controlling for firms' non-random selection of external monitors, we find evidence that market makers perceive information asymmetry across traders to be lower for firms employing external appraisers versus those employing internal appraisers. This evidence is consistent with liquidity-motivated traders being unable to overcome such reliability differences using asset value information from sources other than accounting. We fail to find a similar difference for firms employing Big 6 versus non-Big 6 auditors. Our findings contribute to the debate over the recognition of fair value estimates for long-lived tangible assets by documenting that reliability differences attributable to differential monitoring by appraisers can affect information asymmetry, and therefore firms' cost of capital.     

Institutional Resilience in a Changing World Economy? The Case of the German Bankking and Chemical Industries

This paper examines whether there has been a transformation towards company-specific and unitarist industrial relations in Germany. On the basis of 25 case studies of employment practices in German and foreign-owned banks and chemical firms as well as industry data, the research found that the German system has so far remained relatively stable. Companies in the two industries studied generally still comply with the labour market institutions of multi-employer collective bargaining, workplace representation and initial vocational training. Pressures have been accommodated by changes within the system rather than by a radical change of the system.     

Materiel management reengineering: value creation through innovation

By reengineering their department's core processes, materiel managers can expand their role in the health care setting while realizing significant cost savings. Using a team model, Inova Health System materiel management staff integrated their processes for vendor selection, purchasing, inventory reduction, and utilization across three hospitals and ancillary services. An integrated approach at all levels of the organization gained buy-in from administrators and staff systemwide.     

The raw material basis of global value chains: allocating environmental responsibility based on value generation

A new approach to allocate environmental responsibility, the ‘value added-based responsibility’ allocation, is presented in this article. This metric allocates total environmental pressures occurring along an international supply chain to the participating sectors and countries according to the share of value added they generate within that specific supply chain. We show that – due to their position in global value chains – certain sectors (e.g. services) and countries (e.g. Germany) receive significantly greater responsibility compared to other allocation approaches. This adds a new perspective to the discussions concerning a fair distribution of mitigation costs among nations, companies and consumers.     

Using survey data to resolve the exchange risk exposure puzzle: Evidence from U.S. multinational firms

This paper examines the effect of unexpected exchange rate movements on U.S. shareholder wealth. Empirical results based on a sample of 634 U.S. multinational firms (1) confirm previously reported evidence that the disaggregation of the worldwide trade-weighted U.S. dollar exchange rate index into seven region-specific trade-weighted indices increases the precision and significance of exposure estimates; (2) show that models assuming that changes in spot exchange rates are unanticipated are frequently misspecified and, thus, unable to correctly detect the impact of currency movements on firm value; (3) reveal that forward and survey expectations enable us to distinguish between the effect of ‘realized’ and ‘unexpected’ currency movements; and (4) reveal that investors making pricing and hedging decisions prefer to use the information contained in short-term forward and survey expectation rates to the information included in long-term forecasts.     

The diversity of forecasts from macroeconomic models of the US economy

This paper investigates the accuracy and heterogeneity of output growth and inflation forecasts during the current and the four preceding NBER-dated US recessions. We generate forecasts from six different models of the US economy and compare them to professional forecasts from the Federal Reserve??s Greenbook and the Survey of Professional Forecasters (SPF). The model parameters and model forecasts are derived from historical data vintages so as to ensure comparability to historical forecasts by professionals. The mean model forecast comes surprisingly close to the mean SPF and Greenbook forecasts in terms of accuracy even though the models only make use of a small number of data series. Model forecasts compare particularly well to professional forecasts at a horizon of three to four quarters and during recoveries. The extent of forecast heterogeneity is similar for model and professional forecasts but varies substantially over time. Thus, forecast heterogeneity constitutes a potentially important source of economic fluctuations. While the particular reasons for diversity in professional forecasts are not observable, the diversity in model forecasts can be traced to different modeling assumptions, information sets and parameter estimates.     

Structural production layer decomposition: a new method to measure differences between MRIO databases for footprint assessments

Recent empirical assessments revealed that footprint indicators calculated with various multi-regional input–output (MRIO) databases deliver deviating results. In this paper, we propose a new method, called structural production layer decomposition (SPLD), which complements existing structural decomposition approaches. SPLD enables differentiating between effects stemming from specific parts in the technology matrix, e.g. trade blocks vs. domestic blocks, while still allowing to link the various effects to the total region footprint. Using the carbon footprint of the EU-28 in 2011 as an example, we analyse the differences between EXIOBASE, Eora, GTAP and WIOD. Identical environmental data are used across all MRIO databases. In all model comparisons, variations in domestic blocks have a more significant impact on the carbon footprint than variations in trade blocks. The results provide a wealth of information for MRIO developers and are relevant for policy makers designing climate policy measures targeted to specific stages along product supply chains.     

Payments for environmental services to promote “climate‐smart agriculture”? Potential and challenges

Payments for environmental services (PES) have gained wide popularity as approaches to promote environmentally friendly land use or agricultural production practices. Yet academics have also voiced concerns against seeing PES as a panacea. This article discusses whether PES is an appropriate and promising approach to promote so‐called “climate‐smart agriculture” (CSA) practices, which we define as agricultural production practices that contribute to CO₂ emission reductions and/or removals and provide benefits to farmers via increased productivity and profits and reduced vulnerability to climate change. PES appears most promising for the promotion of CSA practices in small‐scale farming contexts with low incomes. Effective design, however, requires solid estimates of cost and benefit flows from CSA adoption over time, accounting for differences in socioeconomic and ecological conditions, and addressing the risk of leakage. Funding for such PES will likely have to come from public sources, and seems most promising where synergies with other objectives such as agricultural development, food security, and climate adaptation or other environmental services exist. The potential of alternative approaches for CSA support such as taxation with rebates for CSA practices, CSA‐related investment support such as microcredits, and hybrid approaches such as conditional microcredit should be further investigated.     

The Differential Value Relevance of S&P's Core Earnings Versus GAAP Earnings: The Role of Stock Option Expense

In 2002, Standard & Poor's (S&P) introduced Core Earnings as a proprietary, uniform earnings metric, with the goal of improving financial reporting. The distinguishing feature of Core Earnings is its consistent treatment of seven adjustments to GAAP earnings for which there is no consensus adjustment by managers and analysts. We use stock price and return data to assess whether investors perceive Core Earnings to be more value relevant than GAAP earnings. The implementation of FASB 123R changed the calculation of GAAP and Core Earnings. This change allows us to assess the role of stock option expense in the valuation of earnings numbers by partitioning the sample into pre‐ and post‐FASB 123R periods and creating consistent measures of GAAP and Core Earnings. Our price results indicate that Core Earnings is more value relevant than GAAP earnings in the pre‐period after controlling for stock option expense, and in the post‐FASB 123R periods. The price results provide empirical evidence consistent with S&P's expectation that a uniformly calculated earnings measure is a more consistent and useful indicator of current performance and future earnings.