Francesco Lisi : Citation Profile


Are you Francesco Lisi?

12

H index

12

i10 index

402

Citations

RESEARCH PRODUCTION:

24

Articles

6

Papers

RESEARCH ACTIVITY:

   23 years (1997 - 2020). See details.
   Cites by year: 17
   Journals where Francesco Lisi has often published
   Relations with other researchers
   Recent citing documents: 26.    Total self citations: 10 (2.43 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pli451
   Updated: 2024-12-03    RAS profile: 2020-02-27    
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Relations with other researchers


Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Francesco Lisi.

Is cited by:

Weron, Rafał (64)

Caporin, Massimiliano (35)

Marcjasz, Grzegorz (25)

Nowotarski, Jakub (22)

Uniejewski, Bartosz (15)

Chang, Chia-Lin (12)

Grossi, Luigi (10)

Asai, Manabu (8)

Maciejowska, Katarzyna (7)

GUPTA, RANGAN (7)

Majumdar, Anandamayee (6)

Cites to:

Weron, Rafał (25)

Bollerslev, Tim (23)

Diebold, Francis (10)

Janczura, Joanna (9)

Pelagatti, Matteo (7)

Parisio, Lucia (7)

Andersen, Torben (7)

Caporin, Massimiliano (7)

Nason, James (6)

Koopman, Siem Jan (6)

wermers, russell (6)

Main data


Where Francesco Lisi has published?


Journals with more than one article published# docs
Statistical Methods & Applications3
Energy Economics3
Quantitative Finance3
Computational Statistics & Data Analysis2

Working Papers Series with more than one paper published# docs
Working Papers / Center for Research in Economics and Statistics2

Recent works citing Francesco Lisi (2024 and 2023)


YearTitle of citing document
2023Forecasting the Turkish Lira Exchange Rates through Univariate Techniques: Can the Simple Models Outperform the Sophisticated Ones?. (2023). Sarkandiz, Mostafa R. In: Papers. RePEc:arx:papers:2302.08897.

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2024Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity Prices. (2023). Ziel, Florian ; Berrisch, Jonathan. In: Papers. RePEc:arx:papers:2303.10019.

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2023A hybrid model for day-ahead electricity price forecasting: Combining fundamental and stochastic modelling. (2023). Musgens, Felix ; Grothe, Oliver ; Mobius, Thomas ; Watermeyer, Mira. In: Papers. RePEc:arx:papers:2304.09336.

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2023Value-at-Risk-Based Portfolio Insurance: Performance Evaluation and Benchmarking Against CPPI in a Markov-Modulated Regime-Switching Market. (2023). Bastani, Ali Foroush ; Alipour, Peyman. In: Papers. RePEc:arx:papers:2305.12539.

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2023.

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2023Bayesian inference for a mixture double autoregressive model. (2023). Dong, Xiaogang ; Yu, Xinyang ; Zhang, Qingqing ; Yang, Kai. In: Statistica Neerlandica. RePEc:bla:stanee:v:77:y:2023:i:2:p:188-207.

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2024Clustering and forecasting of day-ahead electricity supply curves using a market-based distance. (2024). Morales, Juan M ; Elias, Antonio. In: DES - Working Papers. Statistics and Econometrics. WS. RePEc:cte:wsrepe:43805.

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2024Computational dynamics of information ratios. (2024). Marohn, Marcel ; Auer, Benjamin R. In: Economics Letters. RePEc:eee:ecolet:v:236:y:2024:i:c:s0165176524000946.

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2024Modelling cycles in climate series: The fractional sinusoidal waveform process. (2024). Proietti, Tommaso ; Maddanu, Federico. In: Journal of Econometrics. RePEc:eee:econom:v:239:y:2024:i:1:s0304407622000987.

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2023Distributional neural networks for electricity price forecasting. (2023). Weron, Rafał ; Ziel, Florian ; Narajewski, Micha ; Marcjasz, Grzegorz. In: Energy Economics. RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003419.

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2023The economic impacts of integrating European balancing markets: The case of the newly installed aFRR energy market-coupling platform PICASSO. (2023). Kraft, Emil ; Keles, Dogan ; Backer, Martijn. In: Energy Economics. RePEc:eee:eneeco:v:128:y:2023:i:c:s0140988323006229.

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2024Do ESG ETFs provide downside risk protection during Covid-19? Evidence from forecast combination models. (2024). Huang, Yujun. In: International Review of Financial Analysis. RePEc:eee:finana:v:94:y:2024:i:c:s1057521924002527.

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2023Sample frequency robustness and accuracy in forecasting Value-at-Risk for Brent Crude Oil futures. (2023). Haugom, Erik ; Hadina, Jelena ; Ewald, Christian ; Yahya, Muhammad ; Stordal, Stle ; Lien, Gudbrand. In: Finance Research Letters. RePEc:eee:finlet:v:58:y:2023:i:pa:s154461232300288x.

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2023Forecasting electricity prices with expert, linear, and nonlinear models. (2023). Ravazzolo, Francesco ; del Grosso, Filippo ; Gianfreda, Angelica ; Bille, Anna Gloria. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:570-586.

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2023Forecasting electricity prices using bid data. (2023). Nasirov, Shahriyar ; Martinez, Blanca ; Ciarreta, Aitor. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1253-1271.

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2023Deviations from commitments: Markov decision process formulations for the role of energy storage. (2023). Nadar, Emre ; Kocaman, Ayse Selin ; Avci, Harun ; Karakoyun, Ece Cigdem. In: International Journal of Production Economics. RePEc:eee:proeco:v:255:y:2023:i:c:s0925527322002936.

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2023Edge-Based Short-Term Energy Demand Prediction. (2023). Papageorgiou, Elpiniki I ; Lekidis, Alexios. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:14:p:5435-:d:1196042.

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2023Forecasting Day-Ahead Electricity Prices for the Italian Electricity Market Using a New Decomposition—Combination Technique. (2023). Lopez-Gonzales, Javier Linkolk ; Rodrigues, Paulo Canas ; Turpo-Chaparro, Josue E ; Iftikhar, Hasnain. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:18:p:6669-:d:1241859.

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2023Day-Ahead Electricity Demand Forecasting Using a Novel Decomposition Combination Method. (2023). Lopez-Gonzales, Javier Linkolk ; Rodrigues, Paulo Canas ; Turpo-Chaparro, Josue E ; Iftikhar, Hasnain. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:18:p:6675-:d:1242158.

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2023Multiple Novel Decomposition Techniques for Time Series Forecasting: Application to Monthly Forecasting of Electricity Consumption in Pakistan. (2023). Lopez-Gonzales, Javier Linkolk ; Rodrigues, Paulo Canas ; Bibi, Nadeela ; Iftikhar, Hasnain. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:6:p:2579-:d:1092078.

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2023Omega Compatibility: A Meta-analysis. (2023). Zhang, Xiang ; Maillet, Bertrand ; Caporin, Massimiliano ; Bernard, Carole. In: Computational Economics. RePEc:kap:compec:v:62:y:2023:i:2:d:10.1007_s10614-022-10306-x.

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2023Identifying Risk Factors and Their Premia: A Study on Electricity Prices*. (2023). Lunde, Asger ; Wei, Wei. In: Journal of Financial Econometrics. RePEc:oup:jfinec:v:21:y:2023:i:5:p:1647-1679..

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2023Machine Learning and Deep Learning Forecasts of Electricity Imbalance Prices. (2023). Smirnov, Vladimir ; Wang, Chao ; Wait, Andrew ; Inekwe, John ; Deng, Sinan. In: Working Papers. RePEc:syd:wpaper:2023-03.

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2023Deep distributional time series models and the probabilistic forecasting of intraday electricity prices. (2023). Nott, David J ; Smith, Michael Stanley ; Klein, Nadja. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:38:y:2023:i:4:p:493-511.

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Works by Francesco Lisi:


YearTitleTypeCited
2018Analyzing and Forecasting Zonal Imbalance Signs in the Italian Electricity Market In: The Energy Journal.
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article13
2014A SURVEY ON THE FOUR FAMILIES OF PERFORMANCE MEASURES In: Journal of Economic Surveys.
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article40
2014A Survey on the Four Families of Performance Measures.(2014) In: Post-Print.
[Citation analysis]
This paper has nother version. Agregated cites: 40
paper
2008Clustering Mutual Funds by Return and Risk Levels In: Working Paper CRENoS.
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paper3
1997One-Step Prediction of Chaotic Time Series by Multivariate Reconstruction In: Working Papers.
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paper1
1997Predictive Dimension : An Alternative Definition of the Embedding Dimension In: Working Papers.
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paper0
2009Looking for skewness in financial time series In: Econometrics Journal.
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article22
1999A comparison between neural networks and chaotic models for exchange rate prediction In: Computational Statistics & Data Analysis.
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article26
2007Generalised long-memory GARCH models for intra-daily volatility In: Computational Statistics & Data Analysis.
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article36
2013A Conditional Single Index model with Local Covariates for detecting and evaluating active portfolio management In: The North American Journal of Economics and Finance.
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article7
2001Predictive accuracy for chaotic economic models In: Economics Letters.
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article3
2013Combining day-ahead forecasts for British electricity prices In: Energy Economics.
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article102
2014Component estimation for electricity prices: Procedures and comparisons In: Energy Economics.
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article36
2018Component estimation for electricity market data: Deterministic or stochastic? In: Energy Economics.
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article15
1997Is a random walk the best exchange rate predictor? In: International Journal of Forecasting.
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article14
2012Are performance measures equally stable? In: Annals of Finance.
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article3
2001Interval prediction for chaotic time series In: Metron - International Journal of Statistics.
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article0
2009Comparing and selecting performance measures for ranking assets In: Marco Fanno Working Papers.
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paper9
1997The interbanking liquidity market: Short-time prediction and the central bank reserve management In: Decisions in Economics and Finance.
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article0
2002Nonlinear models for ground-level ozone forecasting In: Statistical Methods & Applications.
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article0
2010Misspecification tests for periodic long memory GARCH models In: Statistical Methods & Applications.
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article2
2011Practical implications of higher moments in risk management In: Statistical Methods & Applications.
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article12
2003k -Factor GARMA models for intraday volatility forecasting In: Applied Economics Letters.
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article12
2009Periodic Long-Memory GARCH Models In: Econometric Reviews.
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article19
2011Dicing with the market: randomized procedures for evaluation of mutual funds In: Quantitative Finance.
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article2
2012On the role of risk in the Morningstar rating for mutual funds In: Quantitative Finance.
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article2
2007Testing asymmetry in financial time series In: Quantitative Finance.
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article8
2020Forecasting of electricity price through a functional prediction of sale and purchase curves In: Journal of Forecasting.
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article9
2011Comparing and selecting performance measures using rank correlations In: Economics Discussion Papers.
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paper6
2011Comparing and selecting performance measures using rank correlations.(2011) In: Economics - The Open-Access, Open-Assessment E-Journal (2007-2020).
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This paper has nother version. Agregated cites: 6
article

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