Robert Ślepaczuk : Citation Profile


Are you Robert Ślepaczuk?

Uniwersytet Warszawski

3

H index

1

i10 index

41

Citations

RESEARCH PRODUCTION:

18

Articles

61

Papers

RESEARCH ACTIVITY:

   20 years (2004 - 2024). See details.
   Cites by year: 2
   Journals where Robert Ślepaczuk has often published
   Relations with other researchers
   Recent citing documents: 12.    Total self citations: 23 (35.94 %)

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   Permalink: http://citec.repec.org/ple519
   Updated: 2024-11-04    RAS profile: 2024-10-10    
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Relations with other researchers


Works with:

Michańków, Jakub (2)

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

Is cited by:

Plastun, Alex (3)

Sakowski, Pawel (3)

Caporale, Guglielmo Maria (3)

Krištoufek, Ladislav (2)

Makarenko, Inna (2)

Gil-Alana, Luis (2)

Stavarek, Daniel (1)

Fassas, Athanasios (1)

Hamori, Shigeyuki (1)

Siriopoulos, Costas (1)

Heryan, Tomas (1)

Cites to:

Bollerslev, Tim (38)

Andersen, Torben (23)

Diebold, Francis (21)

Fama, Eugene (19)

French, Kenneth (17)

Engle, Robert (17)

Lo, Andrew (13)

merton, robert (12)

Scholes, Myron (12)

Sakowski, Pawel (11)

Titman, Sheridan (9)

Main data


Where Robert Ślepaczuk has published?


Journals with more than one article published# docs
Central European Economic Journal5
Ekonomia journal4
Physica A: Statistical Mechanics and its Applications2
Financial Internet Quarterly (formerly e-Finanse)2

Working Papers Series with more than one paper published# docs
Working Papers / Faculty of Economic Sciences, University of Warsaw51
Papers / arXiv.org9

Recent works citing Robert Ślepaczuk (2024 and 2023)


YearTitle of citing document
2023A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin. (2022). Herremans, Dorien ; Zou, Yanzhao. In: Papers. RePEc:arx:papers:2206.00648.

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2023Do clean energy indices outperform using contrarian strategies based on contrarian trading rules?. (2023). Ni, Yensen ; Day, Min-Yuh. In: Energy. RePEc:eee:energy:v:272:y:2023:i:c:s0360544223005078.

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2023Be greedy when others are fearful: Evidence from a two-decade assessment of the NDX 100 and S&P 500 indexes. (2023). Ni, Yensen ; Day, Min-Yuh. In: International Review of Financial Analysis. RePEc:eee:finana:v:90:y:2023:i:c:s1057521923003721.

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2023Does inclusion of GARCH variance in deep learning models improve financial contagion prediction?. (2023). Mangalagiri, Jayasree ; Rayadurgam, Vikram Chandramouli. In: Finance Research Letters. RePEc:eee:finlet:v:54:y:2023:i:c:s1544612323000818.

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2023Extrapolative beliefs about Bitcoin returns. (2023). Petkova, Ralitsa. In: Finance Research Letters. RePEc:eee:finlet:v:56:y:2023:i:c:s1544612323004415.

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2023Liquidity risk, return performance, and tracking error: Synthetic vs. Physical ETFs. (2023). Seok, Sangik ; Cho, Hoon ; Kim, Jinhwan. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:89:y:2023:i:c:s1042443123001531.

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2023Correlation-based investment strategies: A comparison between Chinese and US stock markets. (2023). Liu, Jiajun ; Xing, Ruina ; Zhang, Zhehao ; Shao, Yifei. In: Pacific-Basin Finance Journal. RePEc:eee:pacfin:v:82:y:2023:i:c:s0927538x2300238x.

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2023Do Large Datasets or Hybrid Integrated Models Outperform Simple Ones in Predicting Commodity Prices and Foreign Exchange Rates?. (2023). Hamori, Shigeyuki ; Shang, Jin. In: JRFM. RePEc:gam:jjrfmx:v:16:y:2023:i:6:p:298-:d:1167483.

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2023Cryptocurrency factor momentum. (2023). Zaremba, Adam ; Metko, Daniel ; Liedtke, Gerrit ; Fieberg, Christian. In: Quantitative Finance. RePEc:taf:quantf:v:23:y:2023:i:12:p:1853-1869.

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2023Forecasting realized volatility through financial turbulence and neural networks. (2023). Amir, Moradi ; Gobato, Souto Hugo. In: Economics and Business Review. RePEc:vrs:ecobur:v:9:y:2023:i:2:p:133-159:n:8.

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Works by Robert Ślepaczuk:


YearTitleTypeCited
2023Systemic risk indicator based on implied and realized volatility In: Papers.
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2023Mean Absolute Directional Loss as a New Loss Function for Machine Learning Problems in Algorithmic Investment Strategies In: Papers.
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2023Mean Absolute Directional Loss as a New Loss Function for Machine Learning Problems in Algorithmic Investment Strategies.(2023) In: Working Papers.
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2023Hedging Properties of Algorithmic Investment Strategies using Long Short-Term Memory and Time Series models for Equity Indices In: Papers.
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2023Hedging Properties of Algorithmic Investment Strategies using Long Short-Term Memory and Time Series models for Equity Indices.(2023) In: Working Papers.
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2024Supervised Autoencoder MLP for Financial Time Series Forecasting In: Papers.
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2024Supervised Autoencoder MLP for Financial Time Series Forecasting.(2024) In: Working Papers.
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2024Statistical arbitrage in multi-pair trading strategy based on graph clustering algorithms in US equities market In: Papers.
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2024Statistical arbitrage in multi-pair trading strategy based on graph clustering algorithms in US equities market.(2024) In: Working Papers.
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2024Improving Realized LGD Approximation: A Novel Framework with XGBoost for Handling Missing Cash-Flow Data In: Papers.
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2024Improving Realized LGD approximation: A Novel Framework with XGBoost for handling missing cash-flow data.(2024) In: Working Papers.
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2024LSTM-ARIMA as a Hybrid Approach in Algorithmic Investment Strategies In: Papers.
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2024LSTM-ARIMA as a Hybrid Approach in Algorithmic Investment Strategies.(2024) In: Working Papers.
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2024Construction and Hedging of Equity Index Options Portfolios In: Papers.
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2024Construction and Hedging of Equity Index Options Portfolios.(2024) In: Working Papers.
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2024The Hybrid Forecast of S&P 500 Volatility ensembled from VIX, GARCH and LSTM models In: Papers.
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2024The Hybrid Forecast of S&P 500 Volatility ensembled from VIX, GARCH and LSTM models.(2024) In: Working Papers.
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2014Does historical VIX term structure contain valuable information for predicting VIX futures? In: Dynamic Econometric Models.
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2019Momentum and contrarian effects on the cryptocurrency market In: Physica A: Statistical Mechanics and its Applications.
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2018Momentum and contrarian effects on the cryptocurrency market.(2018) In: Working Papers.
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2022Applying Hurst Exponent in pair trading strategies on Nasdaq 100 index In: Physica A: Statistical Mechanics and its Applications.
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article3
2023Application of machine learning in algorithmic investment strategies on global stock markets In: Research in International Business and Finance.
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article0
2004Efficiency of the Market of Derivative Instruments Listed on the Warsaw Stock Exchange In: Ekonomia journal.
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2012Volatility Measurement, Modeling and Forecasting—An Overview of the Literature In: Ekonomia journal.
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2014Wycena opcji na VIX – podejscie heurystyczne In: Ekonomia journal.
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2016Applying exogenous variables and regime switching to multi-factor models on equity indices In: Ekonomia journal.
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2016Applying Exogenous Variables and Regime Switching To Multifactor Models on Equity Indices.(2016) In: Working Papers.
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2008Analysis of HF data on the WSE in the context of EMH In: MPRA Paper.
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2008Analysis of HF data on the WSE in the context of EMH.(2008) In: Working Papers.
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2016CROSS-SECTIONAL RETURNS WITH VOLATILITY REGIMES FROM A DIVERSE PORTFOLIO OF EMERGING AND DEVELOPED EQUITY INDICES In: e-Finanse.
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2015Cross-Sectional Returns With Volatility Regimes From Diverse Portfolio of Emerging and Developed Equity Indices.(2015) In: Working Papers.
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2008ANALYSIS OF HIGH FREQUENCY DATA ON THE WARSAW STOCK EXCHANGE IN THE CONTEXT OF EFFICIENT MARKET HYPOTHESIS In: Journal of Applied Economic Sciences.
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article6
2023Cross-Country Differences in Return and Volatility Metrics of World Equity Indices In: Central European Economic Journal.
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article0
2017Which Option Pricing Model Is the Best? HF Data for Nikkei 225 Index Options In: Central European Economic Journal.
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2017Which Option Pricing Model Is the Best? HF Data for Nikkei 225 Index Options.(2017) In: Central European Economic Journal.
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2018Robustness of Support Vector Machines in Algorithmic Trading on Cryptocurrency Market In: Central European Economic Journal.
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2019Robustness of Support Vector Machines in Algorithmic Trading on Cryptocurrency Market.(2019) In: Working Papers.
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2018Machine Learning Methods in Algorithmic Trading Strategy Optimization – Design and Time Efficiency In: Central European Economic Journal.
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article0
2020Does the inclusion of exposure to volatility into diversified portfolio improve the investment results? Portfolio construction from the perspective of a Polish investor In: Economics and Business Review.
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2019Does the inclusion of exposure to volatility into diversified portfolio improve the investment results? Portfolio construction from the perspective of a Polish investor..(2019) In: Working Papers.
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2009Emerging versus developed volatility indices. The comparison of VIW20 and VIX indices In: Working Papers.
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2009High-Frequency and Model-Free Volatility Estimators In: Working Papers.
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2010Option Pricing Models with HF Data – a Comparative Study. The Properties of Black Model with Different Volatility Measures In: Working Papers.
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2010Midquotes or Transactional Data? The Comparison of Black Model on HF Data In: Working Papers.
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2010Which Option Pricing Model is the Best? High Frequency Data for Nikkei225 Index Options In: Working Papers.
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2012Investment strategies beating the market. What can we squeeze from the market? In: Working Papers.
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2014Does historical volatility term structure contain valuable in-formation for predicting volatility index futures? In: Working Papers.
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2014Simple heuristics for pricing VIX options In: Working Papers.
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2014Volatility as a new class of assets? The advantages of using volatility index futures in investment strategies In: Working Papers.
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2014Options delta hedging with no options at all In: Working Papers.
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2016Do Multi-Factor Models Produce Robust Results? Econometric And Diagnostic Issues In Equity Risk Premia Study In: Working Papers.
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2016Can We Invest Based on Equity Risk Premia and Risk Factors from Multi-Factor Models? In: Working Papers.
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2018Why you should not invest in mining endeavour? The efficiency of BTC mining under current market conditions In: Working Papers.
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2018Machine learning in algorithmic trading strategy optimization - implementation and efficiency In: Working Papers.
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2019Hybrid Investment Strategy Based on Momentum and Macroeconomic Approach In: Working Papers.
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2020Artificial Neural Networks Performance in WIG20 Index Options Pricing In: Working Papers.
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2020Predicting prices of S&P500 index using classical methods and recurrent neural networks In: Working Papers.
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2020Value-at-risk — the comparison of state-of-the-art models on various assets In: Working Papers.
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2020Variance Gamma Model in Hedging Vanilla and Exotic Options In: Working Papers.
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2020The impact of the results of football matches on the stock prices of soccer clubs In: Working Papers.
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2020Applying Hurst Exponent in Pair Trading Strategies In: Working Papers.
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2021Enhanced Index Replication Based on Smart Beta and Tail-Risk Asset Allocation In: Working Papers.
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2021Application of machine learning in quantitative investment strategies on global stock markets In: Working Papers.
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2021Applying Hybrid ARIMA-SGARCH in Algorithmic Investment Strategies on S&P500 Index In: Working Papers.
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2021Robust optimisation in algorithmic investment strategies In: Working Papers.
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2022The profitability of pairs trading strategies on Hong-Kong stock market: distance, cointegration, and correlation methods In: Working Papers.
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2022A comparison of LSTM and GRU architectures with novel walk-forward approach to algorithmic investment strategy In: Working Papers.
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2022Daily and intraday application of various architectures of the LSTM model in algorithmic investment strategies on Bitcoin and the S&P 500 Index In: Working Papers.
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2022The efficiency of various types of input layers of LSTM model in investment strategies on S&P500 index In: Working Papers.
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2022Quantile regression analysis to predict GDP distribution using data from the US and UK In: Working Papers.
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2023The performance of time series forecasting based on classical and machine learning methods for S&P 500 index In: Working Papers.
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2023The systemic risk approach based on implied and realized volatility In: Working Papers.
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2023Ensembled LSTM with Walk Forward Optimization in Algorithmic Trading In: Working Papers.
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2023Optimal Markowitz Portfolio Using Returns Forecasted with Time Series and Machine Learning Models In: Working Papers.
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2023REnsembling ARIMAX Model in Algorithmic Investment Strategies on Commodities Market In: Working Papers.
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2023Predicting DJIA, NASDAQ and NYSE index prices using ARIMA and VAR models In: Working Papers.
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2024Predictive modeling of foreign exchange trading signals using machine learning techniques In: Working Papers.
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