timeseriesdb is an R package which suggests a PostgreSQL database structure to store time series alongside extensive multi-lingual meta information and provides an R database interface including a web based GUI. The timeseriesdb package was designed to handle time series in establishment...

This article evaluates the use of financial data sampled at high frequencies to improve short-term forecasts of quarterly GDP for Mexico. In particular, the mixed data sampling (MIDAS) regression model is employed to incorporate both quarterly and daily frequencies while remaining parsimonious....

This paper develops a method to improve the estimation of jump variation using high frequency data with the existence of market microstructure noises. Accurate estimation of jump variation is in high demand, as it is an important component of volatility in finance for portfolio allocation,...

We apply a multivariate multiplicative error model (MMEM) and investigate effects in the simultaneous processes of high-frequency return volatilities, trading volume, and trading intensities on the Italien Electronic Interbank Credit Market (e-MID). Analysing five minutes data from the Italian...

Daten sind die strategische Ressource des 21. Jahrhunderts. Es findet kein Geschäftsprozess, keine Kommunikation zwischen Geschäftspartnern, keine Wertschöpfung statt, ohne dass die involvierten Personen, Maschinen und IT-Systeme Daten nutzen, erzeugen oder verändern. Trends wie die...

timeseriesdb is an R package which suggests a PostgreSQL database structure to store time series alongside extensive multi-lingual meta information and provides an R database interface including a web based GUI. The timeseriesdb package was designed to handle time series in establishment...

This paper analyzes the forecasting performance of financial market data in comparison to other indicator groups to forecast industrial production for Germany and the US. We focus on single-indicator models and various weighting schemes and evaluate the forecasting performance using a...

This paper presents a tabular survey of 146 empirical studies for 39 countries, plus 8 studies for multiple countries, that use transaction level data on exports or imports of firms. I hope this survey is useful for readers who want to get an impression of the huge number of different topics...

This paper introduces the Data Collection Task Force of the South-East European Monetary History Network (SEEMHN DCTF) and its first result. Good policy making should be grounded on good data. To this end, the SEEMHN DCTF works since 2006 towards establishing a SEE macro history database of 19th...

Preface and acknowledgments -- Introduction: Sarkozy versus GDP -- The voice of economy -- Love or money -- A Jewish economy in Palestine -- Body of the nation -- Shape of the world -- Discovering economies in British Africa -- The IMF makes the world -- Romantic responses -- Romantic political...

We provide a framework for inference in dynamic equilibrium models including financial market data at daily frequency, along with macro series at standard lower frequency. Our formulation of the macro-finance model in continuous-time conveniently accounts for the difference in observation...

The substantial variation in the real price of oil since 2003 has renewed interest in the question of how to forecast monthly and quarterly oil prices. There also has been increased interest in the link between financial markets and oil markets, including the question of whether financial market...

Machine generated contents note: Introduction Chapter 1: Mad Men to Math Men: The Power of the Data Driven Culture Chapter 2: Four Problems With Data Today: Breadlines, Obscurity, Fragmentation, and Brawls Chapter 3: Business Intelligence: How We Got Here Chapter 4: Achieving Data Enlightenment:...

Business potential of big data. The big data business mandate -- Big data business model maturity index -- The big data strategy document -- The importance of the user experience -- Data science. Differences between business intelligence and data science -- Data science 101 -- The data lake --...