Forecasting high-frequency excess stock returns via data analytics and machine learning

Borsa Istanbul introduced data analytics to present additional information about its market conditions. We examine whether this product can be utilized via various machine learning methods to predict intraday excess returns. Accordingly, these analytics provide significant prediction ratios above 50% with ideal profit ratios that can reach up to 33%. Among all the methods considered, XGBoost (logistic regression) performs better in predicting excess returns in the long-term analysis (short-term analysis). Results provide evidence for the benefits of both the analytics and the machine learning methods and raise further discussion on the semistrong market efficiency.     

Competition effects in EU external aid supply tenders funded with the Pre-accession and Neighbourhood instruments

Empirica - This paper investigates empirically the competition effects on procurement costs for Europe Aid funded supply tenders in countries benefiting from the EU Pre-accession (IPA) and...     

Handelsrestriktionen gegen Russland belasten sektoral und regional unterschiedlich stark

Wirtschaftsdienst - Die militärische Eskalation in der Ukraine sowie die aufgrund der Sanktionen einsetzenden Bremseffekte für die Kapital- und Handelsströme werden die deutsche...     

From Greenwashing to Machinewashing: A Model and Future Directions Derived from Reasoning by Analogy

Journal of Business Ethics - This article proposes a conceptual mapping to outline salient properties and relations that allow for a knowledge transfer from the well-established greenwashing...     

Revising the European Central Bank’s fiscal rules to support growth and employment

Abstract

The paper presents a reform proposal for the operations of the European Central Bank (ECB) whose purpose is to create a common set of risk-free assets for financial institutions operating in the euro area (EA), which is the necessary condition for having a single internal financial market. The proposal does not require the introduction of changes in the existing European Union treaties. The effects of this reform on the debt dynamic of EA member countries permit a revision of the existing fiscal rules. With the help of some simulations, it is shown that maintaining compliance with the European treaties, the reform of the ECB operations and revised fiscal rules would transform the current fiscal deflationary stance into a reflationary one. Some implications for aggregate demand and growth for the EA are briefly discussed.     

Foreign inflows and economic growth: An emiprical study of the SAARC region

The study examines and highlights the impact of selected foreign inflows (aid, trade, FDI, debt and remittances) on the economic growth of the South Asian Association for Regional Cooperation (SAARC) countries. The existent literature lacks a comprehensive analysis of the SAARC countries as countries like Afghanistan, Bhutan and the Maldives have largely been ignored due to the shorter time periods of available data. The study is empirical in nature and utilizes panel data techniques on macroeconomic data for the period 2008–2015. Foreign aid and foreign direct investment are found to impact economic growth positively. Foreign debt and trade flows are found to adversely affect economic growth. No relationship is established between the flow of remittances and the economic growth of these countries. The obtained results are robust to different proxy variables and the addition of macroeconomic variables. For the first time, the study provides policy implications based on the data of all SAARC countries. The study recommends focusing on increasing the inflows of resources in the form of aid and foreign direct investment (FDI) from the developed world to achieve higher economic growth.     

Microfoundations of companies' dynamic capabilities for environmentally sustainable innovation: Case study insights from high‐tech innovation in science‐based companies

To achieve sustainable development, companies are increasingly putting an emphasis on the creation and the promotion of environmentally sustainable innovations. Environmentally sustainable innovation often involves a significant shift in a new strategic direction. This paper studies this shift from a dynamic capabilities perspective and aims to identify the microfoundations of science‐based companies' dynamic capabilities for high‐tech environmentally sustainable innovations. It investigates the development of high‐tech environmentally sustainable innovations in two distinctive science‐based companies. To scholars, this study provides an in‐depth process analysis, over time, of how and why microfoundations of dynamic capabilities influence the development of a science‐based company's high‐tech environmentally sustainable innovations. To practitioners in science‐based firms, this process study can function as a frame of reference, enabling the tailoring of a strategy for high‐tech environmentally sustainable innovation.     

Obstacles and solutions on the ladder of citizen participation: a systematic review

This article presents a systematic review of the English-language empirical literature about citizen participation to identify the obstacles to its implementation and the most successful ways to address them. Three sets of variables seem to impact effectiveness: contextual factors, including information asymmetries and public officials’ attitude; organizational arrangements, including community representation criteria and process design; and process management patterns, including group dynamics and collaboration quality. Two recommendations stem from our analysis: internalize decisions in organizational procedures, and establish ongoing interactions between government bodies and their stakeholders. We conclude that half-hearted engagement is unlikely to lead to successful citizen participation.     

PERFORMANCE MEASUREMENT IN SOLIDARITY ECONOMY ORGANIZATIONS: THE CASE OF FAIR TRADE SHOPS IN ITALY

ABSTRACT: The aim of this paper is to introduce a multidimensional assessment model for organizations that have multiple goals and are not driven exclusively by profit. Therefore, it is an assessment method particularly suitable for social enterprises. In order to measure the efficiency of production units in each dimension, the Data Envelopment Analysis non‐parametric method is applied. Our case study is concerned with Fair Trade shops and members of the consortium Altromercato for which we collected variables that could be associated with input and output for the economic, socio‐cultural and organizational dimensions. The results of the analysis confirm the presence of economies of scale in the economic dimension but not in the socio‐cultural dimension. Moreover, our organizational analysis confirmed a low general professionalization. Our results also confirm, on the one hand, the more pronounced capacity of cooperatives to sell Fair Trade products compared to associations, which, on the other hand, have the tendency to achieve proportionately better results in the socio‐cultural dimension.     

Italy’s Political Upheaval and the Consequences of Inequality

Intereconomics - Political upheaval, with the dangerous rise of the far right – in Italy and Europe – is likely to be stabilised when politics and policies again turn their attention to...