How Reliable Are the Findings of ‘Foreign’ Investor Studies That Use TIC Data? A Look from the Host Market

Empirical literature on foreign investors' trading in stock markets heavily relies on US Treasury International Capital (TIC) data. Biases in TIC data and the fact that it represents only one source country raise questions on how reliable the conclusions based on TIC data are. Employing novel data of complete foreign flows compiled at destination, we answer these questions. Although the correlations between net flows derived from TIC and destination‐compiled data are low, and visible differences exist in some individual country results, TIC findings are not far off in central tendency. Notably, however, net foreign flows' persistence, positive response to world returns and positive contemporaneous correlation with local returns are more significant than TIC data suggest. Measurement noise in TIC data appears to result in underestimation of these key features.     

Managing safety risks in helicopter maritime operations

Nowadays, helicopters have been used in maritime transportation to serve offshore platforms. This paper outlines methodology for assessing safety risks by operating in the vicinity of helidecks. During each flight, decisions must be made regarding the events that involve interactions between the four safety risk elements – the pilot in command, the aircraft, the environment and the operation. This paper evaluates helicopter crash statistics based on region and flight phase. Data collected were used for developing methodology for computing the helicopter impact frequency into facility of interest. The analysis for helicopter impact frequency calculations is based on number of operations, crash rate, frequency, average length of flight and crash area. Furthermore, the conclusion was defined based on future measurements for helicopter accidents mitigation or reduction. The presented paper contributes to safety risk assessment in helicopter maritime operations.     

Online monitoring and assessment of emerging risk in conventional industrial plants: possible way to implement integrated risk management approach and KPI’s

Existing methodologies and practices do not provide enough possibility for online monitoring and assessment of emerging risks occurring as a result of a change in technology, product, operating conditions, as well as in organization of activities in conventional industrial plants. Typical today’s off and online methods and corresponding software packages are used as risk assessment methods, while various risk aspects (such as: process risks, process equipment integrity risks, organizational risks, and health and environmental risks) are being assessed and treated independently. However, it is clear that risk assessment and making decisions in line with that has to be based on information collected from different (independent) sources in online mode. Also, the fact that additional risks in operations may occur due to unexpected changes in technology, accidents or unexpected process equipment degradation should be taken into account. When monitoring and process management systems are being designed and developed, only the process aspect and process risk are usually analyzed, while other risk aspects are not taken into account (like health and environmental risks). A new approach, to be presented in this paper, provides a possibility of online monitoring and assessment of risks (e.g. in petrochemical industry, power industry, etc.).     

Characteristic-based mean-variance portfolio choice

We study empirical mean-variance optimization when the portfolio weights are restricted to be direct functions of underlying stock characteristics such as value and momentum. The closed-form solution to the portfolio weights estimator shows that the portfolio problem in this case reduces to a mean-variance analysis of assets with returns given by single-characteristic strategies (e.g., momentum or value). In an empirical application to international stock return indexes, we show that the direct approach to estimating portfolio weights clearly beats a naive regression-based approach that models the conditional mean. However, a portfolio based on equal weights of the single-characteristic strategies performs about as well, and sometimes better, than the direct estimation approach, highlighting again the difficulties in beating the equal-weighted case in mean-variance analysis. The empirical results also highlight the potential for ‘stock-picking’ in international indexes using characteristics such as value and momentum with the characteristic-based portfolios obtaining Sharpe ratios approximately three times larger than the world market.     

Consumer confidence as a GDP determinant in New EU Member States: a view from a time-varying perspective

This paper offers a pioneer attempt to unveil the time-varying impact of consumer confidence on GDP growth. The empirical analysis is based on a state space model with time-varying coefficients, which is employed on a dataset from 11 New EU Member States. It is shown that the impact of consumer confidence (reflecting the overall uncertainty level in the country) skyrockets in the 2008 Great Recession, providing evidence that the recent crisis was to some extent psychologically governed. After that, the influence of consumer confidence on GDP mostly stabilizes at earlier levels. The EU accession seems not to play an important role in the observed relationship. The obtained conclusions are quite robust across countries and remain intact upon the inclusion of additional control variables in the model. A possible solution for keeping the psychological determinants of the crisis under control is a prompt, coherent, and clearly communicated crisis management policy, which might help preventing a momentous drop of consumer confidence and overall uncertainty.     

Some properties of inflation expectations in the euro area

This paper assesses the euro area inflation expectations by examining five different survey-based expectations indicators. The Survey of Professional Forecasters outperforms all other expectations indicators in terms of forecasting accuracy. We test the unbiasedness and efficiency of these indicators by viewing the Rational Expectations Hypothesis (REH) from a time-varying perspective in a state space framework. Our model shows that the deviations from expectations' unbiasedness and efficiency are the most pronounced in the global financial crisis. Additionally, we offer evidence that the adaptive expectations and regressive expectations models are considerably more in line with actual data than REH.     

The persistence of economic sentiment: a trip down memory lane

Journal of Economic Interaction and Coordination - Although various indicators of economic sentiment are often assessed in macroeconomic studies, the generating process of economic sentiment itself...     

Ability to consume versus willingness to consume: the role of nonlinearities

Empirica - Following the tradition of George Katona, this study utilizes consumer surveys to extract indicators of ability to consume and willingness to consume for 28 European economies. A...