R&D and performance persistence: Evidence from the United Kingdom

There is compelling evidence from both the United States and United Kingdom suggesting that R&D investment is positively related to operating and/or market performance. This study extends prior research on R&D and valuation by further examining the sustainability or persistence of operating growth and market performance as a result of R&D investments.We use a large dataset of U.K. companies during the period 1990–2003 and our findings confirm the relation between R&D intensity and consistent growth in Sales and Gross Income, but only in the cases when a firm needs to engage in R&D activity because of the industry in which it operates. Moreover, our evidence indicates not only a positive relation between R&D intensity and subsequent risk-adjusted excess returns among firms that engage in R&D as testified by prior literature, but we also show that R&D intensity improves persistence in excess stock returns: the highest R&D-intensity firms are found to earn higher risk-adjusted excess returns more consistently than the sample median return, compared to lower R&D-intensity firms, as well as firms with no R&D. We interpret this finding as consistent with at least some form of market mispricing.     

An alternative graphical modeling for economics: Econographicology

The rationale of Econographicology revolves around the efficacy of multidimensional graphs as the most effective visual tool to understand any economic phenomenon from a multidimensional view. The main motivation behind the creation of Econographicology is to evaluate multidimensional graphs evolved so far in economics and to develop new type of multidimensional graphs to facilitate the study of economics, as well as finance and business. Thereby, the mission of Econographicology is to offer academics, researchers and policy maker’s an alternative multidimensional graphical modeling approach for the research and teaching–learning process of economics, finance and business from a multidimensional perspective. Hence, this alternative multidimensional graphical modeling approach is offer a set of multi-dimensional coordinate spaces to build different types of multidimensional graphs to study any economic phenomenon. The following new types of multi-dimensional coordinate spaces are presented: the 5-dimensional coordinate space (vertical position and horizontal position), the mega-dynamic disks coordinate space (vertical position and horizontal position), and the mega-disks networks mapping.     

Claims frequency modeling using telematics car driving data

We investigate the predictive power of covariates extracted from telematics car driving data using the speed-acceleration heatmaps of Gao, G. & Wüthrich, M. V. [(2017). Feature extraction from telematics car driving heatmaps. SSRN ID: 3070069]. These telematics covariates include K-means classification, principal components, and bottleneck activations from a bottleneck neural network. In the conducted case study it turns out that the first principal component and the bottleneck activations give a better out-of-sample prediction for claims frequencies than other traditional pricing factors such as driver's age. Based on these numerical examples we recommend the use of these telematics covariates for car insurance pricing.     

Korean unification prospects: an assessment through the BDN-model

The debate on the possible unification of South Korea and North Korea has often been assessed from the economic perspective, which is insufficient since unification entails not only the integration of two economies but political, social and technological integration of two territories. Using the box negotiation diagram model, this paper expands the scope of the study on South Korea and North Korea unification through a multidisciplinary approach encompassing the political, economic, social and technological perspectives. Given the huge imbalanced points of unification drawn from our analysis, we observed more divergence than convergence hence, hinging the possibility of unification of serious negotiation.     

An investigation of customer order flow in the foreign exchange market

This paper examines the effect that heterogeneous customer orders flows have on exchange rates by using a new, and the largest, proprietary dataset of weekly net order flow segmented by customer type across nine of the most liquid currency pairs. We make several contributions. Firstly, we investigate the extent to which customer order flow can help to explain exchange rate movements over and above the influence of macro-economic variables. Secondly, we address the issue of whether order flows contain (private) information which explain exchange rates changes. Thirdly, we look at the usefulness of order flow in forecasting exchange rate movements at longer horizons than those generally considered in the micro-structure literature. Finally we address the question of whether the out-of-sample exchange rate forecasts generated by order flows can be employed profitably in the foreign exchange markets.     

Licensing Exam Difficulty and Entry Salaries in the US Market for Lawyers

This article provides evidence of a correlation between licensing exam difficulty and salaries in a regulated profession. Exam difficulty is positively correlated with salaries across states and over time, both at the aggregate and individual state levels. The magnitude of this correlation is substantial: a 1 per cent increase in exam difficulty implies a 1.7 per cent increase in median entry‐level salaries. Exam difficulty does not significantly affect the inter‐quartile difference in salaries.     

The Capitalisation of CAP Payments into Land Rental Prices: A Panel Sample Selection Approach

The empirical literature suggests that farmland prices and rents capitalise agricultural subsidies and that the 2003 reform of the EU Common Agricultural Policy, which decoupled subsidies from production and attached them to land, may have increased the extent of the phenomenon. Employing a farm‐level dataset, the Farm Accountancy Data Network (FADN) for Italy, we investigate this issue while accounting for selectivity, endogeneity and unobserved individual heterogeneity. To understand the impact of the reform we compare the estimates of capitalisation rate for decoupled payments with those for coupled payments. After correcting for unobserved individual heterogeneity and selectivity, our results reveal no capitalisation of coupled payments and only limited capitalisation of decoupled area payments into farmland rents in Italy.     

New development: Are social impact bonds (SIBs) viable in Italy? A new roadmap

This paper presents a roadmap to support the development of social impact bonds (SIBs) in Italy. Current barriers and opportunities are explained. SIBs should be piloted in areas where the cultural, ideological, technical and governance barriers are low. Accurate measurement systems will be necessary and an effective governance structure needs to be agreed. With careful piloting and follow-up, the SIB model could be a solution to welfare and public service funding in Italy.