拉斯维加斯赌城

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Research

Below, you will find an overview of our research topics, as well as a selection of major publications from the working group led by Prof. Dr. Andreas Rathgeber. A complete list of publications can be found here.

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The three main research topics are the Economy of Commodity Markets, Data Analysis in Engineering, and Meta-Research. A particular focus of the research lies in exploring the intersections between these topics to identify connections and generate new insights at the boundaries of these disciplines. The working group's approaches involves statistical analyses of empirical data, carried out using a variety of quantitative methods. These include, in addition to appropriate data collection, hypothesis and significance tests, factor and cluster analyses, multiple linear and non-linear models, time series, cross-sectional, and panel analyses, as well as event studies. Other methods employed include, among others, principal component analysis or the use of stochastic volatility models for derivative pricing.
Overview of research topics

Applied Data Analysis

Economy of Commodity Markets

The working group of Prof. Dr. Andreas Rathgeber addresses various research questions in the field of the Economy of Commodity Markets as part of interdisciplinary projects. The focus is on the impact of climate change and the energy transition on commodity and electricity markets.

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  • Drivers of Emission Prices - Disentangling Fundamental Shocks in the European Carbon Market
    Maulberger, A.; Rathgeber, A.
    Working Paper
  • Identifying Drivers of Price Dynamics in the Cocoa Market
    Schischke, A.; Ligorati,?M.;?Schmid, F.; Rathgeber, A.
    Working Paper
  • Spillover effects in electricity markets
    Schischke, A.; Rathgeber, A.

    Working Paper
  • Commodities and monetary policy - the role of interest rates revisited
    Schischke, A.; Rathgeber, A.

    Working Paper
  • The three co's to jointly model commodity markets: co-production, co-consumption and co-trading
    Schischke, A.; Papenfu?, P.; Rathgeber, A.
    Empirical Economics, 66, 2024, pp.883-925.
  • Rebalancing effects of commodity indices on open interest, volume and prices
    Schmid, F.; Mayer, H.; Wanner, M.;?Rathgeber, A.

    The European Journal of Finance 29, 1187-1206 (2023)

Data Analysis in Egnineering

In the field of Data Analysis in Engineering, the working group focuses on processing, modeling, and interpreting technical data using statistical methods. The goal is to develop a deep understanding of technological processes and systems to enhance efficiency, promote sustainability, and support the circular use of resources.

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  • The Impact of Photovoltaic Module Recycling on Silver Market Dynamics: Analysis and Projections
    Straub-Mück, M.; Schischke, A.; Rathgeber, A.
    Working Paper
  • Degradation of lithium-ion batteries: a meta-analysis
    Ligorati, M.; Geyer-Klingeberg, J.; Rathgeber, A.
    Working Paper
  • Determinants of the long-term degradation rate of photovoltaic modules: A meta-analysis
    Straub-Mück, M.; Geyer-Klingeberg, J.; Rathgeber, A.
    Renewable & Sustainable Energy Reviews, 216,?115697 (2025)
  • Sustainable energy transition and its demand for scarce resources: insights into the German Energiewende through a new risk assessment framework
    Schischke, A.; Papenfu?, P.; Brem, M.; Kurz, P.; Rathgeber, A.
    Renewable & Sustainable Energy Reviews, 176, 113190 (2023)

Meta-Research

Another group of methods used is meta-analysis, a higher-level "analysis of analyses." Originally developed in medical research to increase the statistical power of drug studies with small sample sizes, meta-analysis provides a statistical synthesis of primary studies. Due to the rapid increase in empirical publications and the heterogeneity of results across many research topics, approaches to aggregating findings from different primary studies are becoming increasingly important. Meta-analysis enables such systematic secondary data analysis, as well as the identification and statistical quantification of the extent to which differences in study design influence study outcomes. Additionally, it allows for the measurement and correction of biasing effects, such as publication bias or model misspecification in primary studies. Within meta-analysis, various methods are applied, including univariate and multivariate meta-methods, meta-regressions, and meta-analytic structural equation models.

The working group led by Prof. Rathgeber applies meta-analysis methodologies to research topics in the Economy of Commodity Markets and Data Analysis in Engineering, such as the impact of commodity price shocks on stock prices or the degradation of photovoltaic modules.

As part of this research topic, the team collaborates with international scholars from the Meta-Analysis of Economics Research Network ( MAER-Net).

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  • Determinants of the long-term degradation rate of photovoltaic modules: A meta-analysis
    Straub-Mück, M.; Geyer-Klingeberg, J.; Rathgeber, A.
    Working Paper.
  • Reporting Guidelines for Meta-Analysis in Economics
    Havranek, T.; Stanley, T.D.; Doucouliagos, H.; Bom, P.; Geyer-Klingeberg, J.; Iwasaki, I.; Reed, R.W.; Rost, K.; Aert, R.C.M.
    Journal of Economic Surveys, 34(3), 2020, pp. 469-475.
  • Meta-analysis in Finance Research: Opportunities, Challenges, and Contemporary Applications
    Geyer-Klingeberg, J.; Hang, M.; Rathgeber, A.
    International Review of Financial Analysis, 71, 101524, 2020.
  • Corporate financial hedging and firm value: a meta-analysis
    Geyer-Klingeberg, J.; Hang, M.; Rathgeber, A.
    European Journal of Finance, 27, 2020, pp. 461-485
  • Global Climate Impacts of Agriculture: A Meta-Regression Analysis of Food Production
    Gaugler, T.; Stoeckl, S.; Rathgeber, A.
    Journal of Cleaner Production, 276(122575), 2020.
  • Measurement matters - A meta-study of the determinants of corporate capital structure
    Hang, M.;?Geyer-Klingeberg, J.;?Rathgber, A.;?St?ckl, S.?
    Quarterly Review of Economics and Finance, 68, 2018, pp. 211-225.

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