Marian Risse

842 total citations
25 papers, 658 citations indexed

About

Marian Risse is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Management Science and Operations Research. According to data from OpenAlex, Marian Risse has authored 25 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Economics and Econometrics, 18 papers in General Economics, Econometrics and Finance and 12 papers in Management Science and Operations Research. Recurrent topics in Marian Risse's work include Market Dynamics and Volatility (20 papers), Monetary Policy and Economic Impact (18 papers) and Forecasting Techniques and Applications (12 papers). Marian Risse is often cited by papers focused on Market Dynamics and Volatility (20 papers), Monetary Policy and Economic Impact (18 papers) and Forecasting Techniques and Applications (12 papers). Marian Risse collaborates with scholars based in Germany, Venezuela and South Africa. Marian Risse's co-authors include Christian Pierdzioch, Sebastian Rohloff, Rangan Gupta, Mark E. Wohar, Jun Ma and Christoph Behrens and has published in prestigious journals such as Economics Letters, International Journal of Forecasting and Resources Policy.

In The Last Decade

Marian Risse

25 papers receiving 639 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marian Risse Germany	17	540	266	209	142	64	25	658
Chin Wen Cheong Malaysia	11	362 0.7×	120 0.5×	113 0.5×	234 1.6×	42 0.7×	57	517
Robert M. Kunst Austria	15	461 0.9×	371 1.4×	121 0.6×	162 1.1×	37 0.6×	60	669
Helena Veiga Spain	13	404 0.7×	107 0.4×	108 0.5×	214 1.5×	95 1.5×	36	546
Jihong Xiao China	17	1.0k 1.9×	246 0.9×	179 0.9×	181 1.3×	439 6.9×	43	1.2k
Jiqian Wang China	14	724 1.3×	179 0.7×	113 0.5×	251 1.8×	185 2.9×	29	786
Neda Todorova Australia	20	960 1.8×	297 1.1×	110 0.5×	464 3.3×	213 3.3×	57	1.1k
Yingying Xu China	15	512 0.9×	88 0.3×	61 0.3×	190 1.3×	134 2.1×	68	652
Antonio Gargano United States	9	369 0.7×	209 0.8×	157 0.8×	300 2.1×	24 0.4×	12	591
Rodney W. Strachan Australia	16	584 1.1×	555 2.1×	90 0.4×	305 2.1×	47 0.7×	45	847

Countries citing papers authored by Marian Risse

Since Specialization

Citations

This map shows the geographic impact of Marian Risse's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marian Risse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marian Risse more than expected).

Fields of papers citing papers by Marian Risse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marian Risse. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marian Risse. The network helps show where Marian Risse may publish in the future.

Co-authorship network of co-authors of Marian Risse

This figure shows the co-authorship network connecting the top 25 collaborators of Marian Risse. A scholar is included among the top collaborators of Marian Risse based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marian Risse. Marian Risse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Risse, Marian. (2019). Combining wavelet decomposition with machine learning to forecast gold returns. International Journal of Forecasting. 35(2). 601–615. 81 indexed citations

Behrens, Christoph, Christian Pierdzioch, & Marian Risse. (2019). Do German economic research institutes publish efficient growth and inflation forecasts? A Bayesian analysis. Journal of Applied Statistics. 47(4). 698–723. 7 indexed citations

Behrens, Christoph, Christian Pierdzioch, & Marian Risse. (2018). Testing the optimality of inflation forecasts under flexible loss with random forests. Economic Modelling. 72. 270–277. 25 indexed citations

Gupta, Rangan, Jun Ma, Marian Risse, & Mark E. Wohar. (2018). Common business cycles and volatilities in US states and MSAs: The role of economic uncertainty. Journal of Macroeconomics. 57. 317–337. 78 indexed citations

Gupta, Rangan, et al.. (2018). The role of term spread and pattern changes in predicting stock returns and volatility of the United Kingdom: Evidence from a nonparametric causality-in-quantiles test using over 250 years of data. The North American Journal of Economics and Finance. 47. 391–405. 3 indexed citations

Behrens, Christoph, Christian Pierdzioch, & Marian Risse. (2018). A test of the joint efficiency of macroeconomic forecasts using multivariate random forests. Journal of Forecasting. 37(5). 560–572. 19 indexed citations

Pierdzioch, Christian & Marian Risse. (2018). Forecasting precious metal returns with multivariate random forests. Empirical Economics. 58(3). 1167–1184. 43 indexed citations

Pierdzioch, Christian & Marian Risse. (2017). Forecasting Precious Metal Returns with Multivariate Random Forests. SSRN Electronic Journal. 3 indexed citations

Risse, Marian, et al.. (2017). Using dynamic model averaging in state space representation with dynamic Occam’s window and applications to the stock and gold market. Journal of Empirical Finance. 44. 158–176. 11 indexed citations

10.

Risse, Marian, et al.. (2016). Forecasting house-price growth in the Euro area with dynamic model averaging. The North American Journal of Economics and Finance. 38. 70–85. 34 indexed citations

11.

Pierdzioch, Christian, Marian Risse, & Sebastian Rohloff. (2016). A boosting approach to forecasting the volatility of gold-price fluctuations under flexible loss. Resources Policy. 47. 95–107. 29 indexed citations

12.

Gupta, Rangan, Christian Pierdzioch, & Marian Risse. (2016). On international uncertainty links: BART-based empirical evidence for Canada. Economics Letters. 143. 24–27. 22 indexed citations

13.

Pierdzioch, Christian, Marian Risse, & Sebastian Rohloff. (2016). Are precious metals a hedge against exchange-rate movements? An empirical exploration using bayesian additive regression trees. The North American Journal of Economics and Finance. 38. 27–38. 46 indexed citations

14.

Pierdzioch, Christian, Marian Risse, & Sebastian Rohloff. (2015). A real-time quantile-regression approach to forecasting gold returns under asymmetric loss. Resources Policy. 45. 299–306. 18 indexed citations

15.

Pierdzioch, Christian, Marian Risse, & Sebastian Rohloff. (2015). A boosting approach to forecasting gold and silver returns: economic and statistical forecast evaluation. Applied Economics Letters. 23(5). 347–352. 18 indexed citations

16.

Pierdzioch, Christian, Marian Risse, & Sebastian Rohloff. (2015). Cointegration of the prices of gold and silver: RALS-based evidence. Finance research letters. 15. 133–137. 25 indexed citations

17.

Pierdzioch, Christian, Marian Risse, & Sebastian Rohloff. (2015). Are Precious Metals a Hedge Against Exchange-Rate Movements? An Empirical Exploration Using Bayesian Additive Regression Trees. SSRN Electronic Journal. 1 indexed citations

18.

Pierdzioch, Christian, Marian Risse, & Sebastian Rohloff. (2014). Forecasting gold-price fluctuations: a real-time boosting approach. Applied Economics Letters. 22(1). 46–50. 26 indexed citations

19.

Pierdzioch, Christian, Marian Risse, & Sebastian Rohloff. (2014). The international business cycle and gold-price fluctuations. The Quarterly Review of Economics and Finance. 54(2). 292–305. 40 indexed citations

20.

Pierdzioch, Christian, Marian Risse, & Sebastian Rohloff. (2014). Fluctuations of the Real Exchange Rate, Real Interest Rates, and the Dynamics of the Price of Gold in a Small Open Economy. SSRN Electronic Journal. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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