The aim of this article is to analyze the economic and financial performance of Slovenian enterprises, as a European Union (EU) member state case study. A favorable economic and financial performance is crucial for long-term sustainable enterprise growth and survival. Eight economic and...

We employ hourly electricity load data for Switzerland as a real time indicator of the economic effects of the lockdown following the spread of SARS-CoV-2. Our findings reveal that following the drastic lockdown, overall electricity use decreased by 4 per cent, with a reduction of even 11.3 per...

We employ hourly electricity load data for Switzerland as a real time indicator of the economic effects of the lockdown following the spread of SARS-CoV-2. Our findings reveal that following the drastic lockdown, overall electricity use decreased by 4 per cent, with a reduction of even 11.3 per...

This study aims to test the causal relationship between Saudi stock market index (TASI) and sectoral indices throughout the period from 2016-2020. The study data were extracted through the main index of the Saudi market and the indices of the available data of 19 sectors out of 21 sectors. The...

While all EU Member States can join the group's monetary union, the euro area, some members are far more ready for the adoption and use of the single European currency. Here, we construct a new Monetary Union Readiness Index (MURI) for the EU Member States. The theoretical framework of the index...

Derzeit prüft die EU-Kommission den Antrag der Ukraine auf eine EU-Mitgliedschaft. Ein Schnellverfahren für eine Aufnahme der Ukraine in die EU ist im Gespräch, aber eher unwahrscheinlich. Die letzten EU-Erweiterungen um Bulgarien und Rumänien in 2007 und Kroatien in 2013 wurden zum Teil...

To date, only annual information on economic activity is published for the 16 German states. In this paper, we calculate quarterly regional GDP estimates for the period between 1995 to 2020, thereby improving the regional database in Germany. The new data set will regularly be updated when...

This paper examines the impact of COVID-19 cases and deaths on selected financial indicators in Turkey between March 2020 and July 2020. This study analyzes the causal relationship between COVID-19 and liquidity and risk perception in Turkey. To measure the impact of COVID-19 on liquidity and...

This work assesses whether certain indicators constructed from unstructured information published in newspapers contain useful information regarding dynamics of Argentina’s country risk volatility, estimated from a GARCH(1,1) model. The analysis covers the period 1998-2019. One standard...

The COVID pandemic has wreaked havoc on the world economy. The present study aims to understand how the Indian stock market reacts to daily COVID cases and the movement of other prominent global market indices like NASDAQ, DAX, Shanghai Index, and TOPIX. The researchers have taken the daily data...

We introduce a novel machine learning approach to leverage historical and contemporary maps and systematically predict economic statistics. Our simple algorithm extracts meaningful features from the maps based on their color compositions for predictions. We apply our method to grid-level...

This paper suggests that important improvements in the Genuine Progress Indicator (GPI) can be made by including government provisions of health care and education, and by directly calculating the contribution of natural resources and leisure, and adjusting for inequality, using a global norm...

This study analyses the role of energy use in countries with heterogeneous development paths. Energy is a fundamental input in human activities and a broad literature attests the link between energy and economic growth, usually measured by gross domestic product (GDP). We examine how this...

This study provides the first attempt to evaluate whether a logit early warning system (EWS) for systemic banking crises can produce better predictions when political indicators are used alongside traditional macro-financial indicators. Based on a dataset covering 32 advanced economies for the...

Purpose - The paper compares multi-period forecasting performances by direct and iterated method using Bayesian vector autoregressive (VAR) models. Design/methodology/approach - The paper adopts Bayesian VAR models with three different priors - independent Normal-Wishart prior, the Minnesota...

Aggregate financial conditions indices (FCIs) are constructed to fulfil two aims: (i) The FCIs should resemble non-model-based composite indices in that their composition is adequately invariant for concatenation during regular updates; (ii) the concatenated FCIs should outperform financial...

This report summarizes and synthesizes the outcomes of a pilot testing project on a set of UNRISD-designed Sustainable Development Performance Indicators (SDPI) that are intended to gauge whether economic entities are on a pathway consistent with the transformative goals and vision of the 2030...

During the COVID-19 pandemic, house prices and mortgage credit rose at a longunseen pace. It is unclear, however, whether such increases are warranted by the underlying market and macroeconomic fundamentals. This paper offers a new structural two-market disequilibrium model that can be estimated...

In this study, we construct an index using high-frequency data related to financial markets and intermediation services in Turkey, called the High-Frequency Financial Conditions Index, employing alternative statistical techniques for the period from 2006 to 2020. We also analyze the informative...

Can the upturns and downturns in financial variables serve as early warning indicators of banking crises? Using data from 59 advanced and emerging economies, we show that financial overheating can be detected in real time. Equity prices and output gap are the best leading indicators in advanced...

We compare different approaches to constructing financial condition indices (FCIs) for major emerging market economies (EMEs). We further test whether measures of web-search intensity for keywords related to financial tensions can complement the information content of traditional financial...

This paper shows how the role of Financial Soundness Indicators (FSIs) in financial surveillance can be usefully enhanced. Drawing from different statistical techniques, the paper illustrates that FSIs generate signals that can accurately detect, with 4 to 12 quarters lead, emerging financial...

Monitoring economic conditions and financial stability with an early warning system serves as a prevention mechanism for unexpected economic events. In this paper, we investigate the statistical performance of sequential break-point detectors for stationary time series regression models with...

Using a novel data set based on individual resumes of public firm employees, we propose a monthly index of aggregate labor flow that measures the dynamics of firm employment. We find that the index can predict the economic outputs significantly: an increase in the index leads to greater...

We provide evidence on the real-time predictive content of the National Financial Conditions Index (NFCI), for conditional quantiles of U.S. real GDP growth. Our work is distinct from the literature in two specific ways. First, we construct (unofficial) real-time vintages of the NFCI. This...

A major shortcoming of the U.S. leading index is that it does not use the most recent information for stock prices and yield spreads. The index methodology ignores these data in favor of a time-consistent set of components (i.e., all of the components must refer to the previous month). An...

A key element of the European reform agenda is to simplify the EU fiscal governance framework by moving towards a single debt anchor and a single operational indicator as the basis for formulating fiscal targets and assessing compliance. This paper puts forward an in-depth analysis of two...

Economic analysts have used trends in total factor productivity (TFP) to evaluate the effectiveness with which economies are utilizing advances in technology. However, this measure is problematic on several different dimensions. First, the idea that it is possible to separate out the relative...

This survey reviews the growing use of patent data in economic analysis. After describing some of the main characteristics of patents and patent data, it focuses on the use of patents as an indicator of technological change. Cross-sectional and time-series studies of the relationship of patents...