Machine learning for financial transaction classification across companies using character-level word embeddings of text fields

An important initial step in accounting is mapping financial transfers to the corresponding accounts. We devised machine-learning-based systems that automate this process. They use word embeddings with character-level features to process transaction texts. When considering 473 companies independently, our approach achieved an average top-1 accuracy of 80.50%, outperforming baselines that exclude the transaction texts or rely on a lexical bag-of-words text representation. We extended the approach to generalizes across companies and even across different corporate sectors. After standardization of the account structures and careful feature engineering, a single classifier trained on 44 companies from 28 sectors achieved a test accuracy of more than 80%. When trained on 43 companies and tested on the remaining one, the system achieved an average performance of 64.62%. This rate increased to nearly 70% when considering only the largest sector.     

A Tutorial on Palm Distributions for Spatial Point Processes

This tutorial provides an introduction to Palm distributions for spatial point processes. Initially, in the context of finite point processes, we give an explicit definition of Palm distributions in terms of their density functions. Then we review Palm distributions in the general case. Finally, we discuss some examples of Palm distributions for specific models and some applications.     

Practice makes perfect: Entrepreneurial-experience curves and venture performance

This study tackles the puzzle of why increasing entrepreneurial experience does not always lead to improved financial performance of new ventures. We propose an alternate framework demonstrating how experience translates into expertise by arguing that the positive experience–performance relationship only appears to expert entrepreneurs, while novice entrepreneurs may actually perform increasingly worse because of their inability to generalize their experiential knowledge accurately into new ventures. These negative performance implications can be alleviated if the level of contextual similarity between prior and current ventures is high. Using matched employee–employer data of an entire population of Swedish founder-managers between 1990 and 2007, we find a non-linear relationship between entrepreneurial experience and financial performance consistent with our framework. Moreover, the level of industry, geographic, and temporal similarities between prior and current ventures positively moderates this relationship. Our work provides both theoretical and practical implications for entrepreneurial experience—people can learn entrepreneurship and pursue it with greater success as long as they have multiple opportunities to gain experience, overcome barriers to learning, and build an entrepreneurial-experience curve.     

Evaluating foreign exchange market intervention: Self-selection,counterfactuals and average treatment effects

Estimating the effect of official foreign exchange market intervention is complicated by the fact that intervention at any point entails a “self-selection” choice made by the authorities and that no counterfactual is observed. To address these issues, we estimate the “counterfactual” exchange rate movement in the absence of intervention by introducing the method of propensity-score matching to estimate the “average treatment effect” (ATE) of intervention. To derive the propensity scores we estimate central bank intervention reaction functions. We estimate the ATE for daily official intervention in Japan over the January 1999–March 2004 period. This sample encompasses a remarkable variation in intervention frequencies as well as unprecedented frequent intervention towards the latter part of the period. We find that only sporadic and relatively infrequent intervention is effective.     

Business cycle synchronisation in East Asia

Against the background of the rapid inter- and intra-regional integration of East Asia, we examine the extent and nature of synchronisation of business cycles in the region. We estimate a dynamic common factor model for output growth of 10 East Asian countries. A significant common factor is shared by all Asian countries considered, except China and Japan. The degree of synchronisation has fluctuated over time, with an upward trend particularly evident for the newly industrialised economies. Synchronisation appears to mainly reflect strong export synchronisation, rather than common consumption or investment dynamics. A number of external factors, such as the oil price and the JPY–USD exchange rate, appear to play a role in synchronising activity.     

A Tutorial on Reversible Jump MCMC with a View toward Applications in QTL-mapping

A tutorial derivation of the reversible jump Markov chain Monte Carlo (MCMC) algorithm is given. Various examples illustrate how reversible jump MCMC is a general framework for Metropolis-Hastings algorithms where the proposal and the target distribution may have densities on spaces of varying dimension. It is finally discussed how reversible jump MCMC can be applied in genetics to compute the posterior distribution of the number, locations, effects, and genotypes of putative quantitative trait loci.     

Hosting major sports events: the challenge of taming white elephants

While the literature on the economic impacts of major sports events has grown considerably over the years, the question of utilisation of venues built for these events after the party is over has received little attention. This article fills some of the gaps in the literature. By means of a Stadium Utilisation Index, it measures the post-event utilisation of venues that were constructed of significantly refurbished to host major sports events in the period from 1996 to 2010. It reveals some of the challenges facing the utilisation of the venues once ‘the circus has left town’. The regressions identify that private owned stadiums have a higher rate of utilisation than publicly built venues. The stadiums with the highest capacity tend to have higher utilisation. Last, but not least in terms of importance, stadiums in nations with a high degree of corruption had the lowest utilisation.     

ECB Foreign Exchange Intervention and the EURO: Institutional Framework,News, and Intervention

Using a unique intervention news data set, this paper investigates the impact of ECB intervention and intervention-related news (newswire reports) on the Euro exchange rate. A time-series study of news generated by ECB officials and market participants regarding intervention and the value of the Euro as well as an event study of firm reports of ECB intervention is conducted. Both studies find significant short-run effects on the Euro value, while only negative statements (official statements denying past intervention or ruling out future intervention) appear to have persistent effects.     

PRODUCTIVITY GROWTH AND WORKER REALLOCATION*

Productivity dispersion across firms is large and persistent, and worker reallocation among firms is an important source of productivity growth. An equilibrium model of growth and firm evolution designed to clarify the role of worker reallocation in the growth process is studied. We show that it explains the correlations between size measures and labor productivity found in Danish firm data. Conditions under which the reallocation of workers from less to more productive firms contributes to aggregate productivity growth in the economy modeled are derived. Finally, a proof of existence of an equilibrium solution to the model is also provided.     

Real-time effects of central bank intervention in the euro market

This paper investigates the real-time effects of sterilized foreign exchange intervention using official intraday intervention data provided by the Danish central bank. Our analysis employs a two-step weighted least squares estimation procedure. We control for macro surprises, address the issue of endogeneity, and carry out an array of robustness tests. Only when the direction of intervention is consistent with the monetary policy stance do we find that intervention exerts a significant influence on exchange rate returns.