Firm resources,cultural distance and simultaneous international expansion in the retail sector

Despite the fact that many firms simultaneously expand into multiple new markets, we know very little about why firms choose this type of international expansion instead of sequentially entering new markets. Drawing on the resource-based view (RBV) we argue that in order to engage in simultaneous international expansion firms have to be able to draw on intangible assets, be financially strong, and have international experience that will enable them to reduce and/or shoulder the strains on managerial resources, time compression diseconomies and costs of simultaneously entering multiple new overseas markets. We further expect the strength of these associations to be moderated by the cultural distance between a firm’s home country and newly entered countries. Our analysis of the international expansion of the sales operations of 102 retailers over the period 2003–2012, during which these retailers sequentially or simultaneously entered into a total 836 overseas markets, largely supports our hypotheses. Our study underlines the usefulness of the RBV for understanding simultaneous international expansion as an important phenomenon that has received only scant scholarly attention to date.     

One size fits all? High frequency trading,tick size changes and the implications for exchanges: market quality and market structure considerations

This paper offers a systematic review of the empirical literature on the implications of tick size changes for exchanges. Our focus is twofold: first, we are concerned with the market quality implications of a change in the minimum tick size. Second, we are interested in the implications of changes in the minimum tick size on market structure. We show that there is a large body of empirical literature that documents a decrease in transaction costs following a decrease in the minimum tick size. However, even though market liquidity increases, the incentive to provide market making activities decreases. We document a strong link between the minimum tick size regulations and the recent increase in high frequency trading activity. A smaller tick enhances the price discovery process. However, the question of how multiple tick size regimes affect market liquidity in a fragmented market remains to be answered. Finally, we identify topics for future research; we discuss the empirical literature on the minimum trade unit and the recent calls for a minimum resting time for quotes.     

Effective risk aversion in thin risk‐sharing markets

We consider thin incomplete financial markets, where traders with heterogeneous preferences and risk exposures have motive to behave strategically regarding the demand schedules they submit, thereby impacting prices and allocations. We argue that traders relatively more exposed to the market portfolio tend to behave in a more risk tolerant manner. Noncompetitive equilibrium prices and allocations result as an outcome of a game among traders. General sufficient conditions for existence and uniqueness of such equilibrium are provided, with extensive analysis of two‐trader transactions. Even though strategic behavior causes inefficient social allocations, traders with sufficiently high risk tolerance and/or high initial exposure to tradable securities obtain more utility gain in the noncompetitive equilibrium, when compared to the competitive one.     

The determinants of net interest margin during transition

Review of Quantitative Finance and Accounting - In this paper we examine the banking sector of the Central and Eastern European (CEE) countries during the transition period 1998–2016 in a...     

Public policies to enhance regional entrepreneurship: another programme failing to deliver?

Small Business Economics - This paper examines public policies aimed at enhancing entrepreneurship. Drawing upon both theory and prior empirical work, it formulates four tests of policy...     

Neural network copula portfolio optimization for exchange traded funds

This paper attempts to investigate if adopting accurate forecasts from Neural Network (NN) models can lead to statistical and economically significant benefits in portfolio management decisions. In order to achieve that, three NNs, namely the Multi-Layer Perceptron, Recurrent Neural Network and the Psi Sigma Network (PSN), are applied to the task of forecasting the daily returns of three Exchange Traded Funds (ETFs). The statistical and trading performance of the NNs is benchmarked with the traditional Autoregressive Moving Average models. Next, a novel dynamic asymmetric copula model (NNC) is introduced in order to capture the dependence structure across ETF returns. Based on the above, weekly re-balanced portfolios are obtained and compared using the traditional mean–variance and the mean–CVaR portfolio optimization approach. In terms of the results, PSN outperforms all models in statistical and trading terms. Additionally, the asymmetric skewed t copula statistically outperforms symmetric copulas when it comes to modelling ETF returns dependence. The proposed NNC model leads to significant improvements in the portfolio optimization process, while forecasting covariance accounting for asymmetric dependence between the ETFs also improves the performance of obtained portfolios.     

Resuscitating real interest rate parity: new evidence from panels

This paper considers the real interest rate parity (RIRP) in OECD countries applying a sequential panel selection (SPS) method on alternative panel unit-root tests. Our approach exploits the enhanced power of panels to uncover evidence of stationarity, but also identifies the exact countries for which the RIRP holds in a panel. Moreover, we construct real interest rate measures using alternative approaches, including a Markov regime-switching procedure, which is consistent with the forward-looking nature of inflation expectations formation. Considering US as the benchmark economy, we produce strong evidence of stationarity in real interest rate differentials, which resuscitates RIRP, especially given the inconclusive results in the related literature. Our results are robust to different panel unit-root tests, measures of inflation expectations, and interest rate maturities. The RIRP appears quite resilient in the face of the global financial crisis and the low real interest rate environment after the great recession. The SPS allows to calculate half-lives, which avoid the pitfalls of over/underestimating the speed of adjustment and are lower as compared to the typical estimates in the literature.     

Reciprocal Loyalty and Union Mediation

This study investigates the concept of loyalty in the employment relationship using a stated preference approach and a dataset obtained through purpose‐built questionnaires. Reciprocal loyalty is defined as a gift exchange. Workers' good performance is rewarded by the employer by the provision of a job with a low likelihood of job loss. The study shows that such reciprocal employer–employee loyalty is highly rated by the workers as a desirable job attribute. Loyalty in the employer–employee relationship is differently valued by unionized and nonunionized workers. Overall, the evidence suggests that unionized workers are more receptive to arrangements involving reciprocal loyalty. This may be an outcome of adaptation to internalized norms of union behavior.     

Generalized cumulative residual entropy and record values

The Shannon entropy of a random variable has become a very useful tool in Probability Theory. In this paper we extend the concept of cumulative residual entropy introduced by Rao et al. (in IEEE Trans Inf Theory 50:1220–1228, 2004). The new concept called generalized cumulative residual entropy (GCRE) is related with the record values of a sequence of i.i.d. random variables and with the relevation transform. We also consider a dynamic GCRE obtained using the residual lifetime. For these concepts we obtain some characterization results, stochastic ordering and aging classes properties and some relationships with other entropy concepts.