Working Papers

Seria wydawnicza WNE WORKING PAPERS prowadzona jest przez WNE UW od 2008 r. i jak dotąd opublikowano w niej ponad 400 prac.

Seria WNE Working Papers służy szybkiemu upowszechnianiu wyników badań prowadzonych na Wydziale Nauk Ekonomicznych UW. Publikowane tu teksty mają charakter wersji roboczych (pre-printów): mogą być uzupełniane lub poprawiane w miarę postępu prac nad tekstem i procesu wydawniczego. Prezentujemy aktualną wersję udostępnioną przez autorów, opatrzoną datą oraz identyfikatorami DOI/ISSN – co ułatwia jej cytowanie i śledzenie kolejnych iteracji. Każdy dokument zachowuje pełne prawa autorskie swoich twórców, a w przypadku późniejszych zmian, autorzy mogą w dowolnym momencie zamieścić zaktualizowany plik lub wskazać miejsce ostatecznego wydania.

Do serii WORKING PAPERS przyjmowane są artykuły pracowników naukowych WNE UW oraz publikacje z konferencji organizowanych na WNE UW. Artykuły powinny dotyczyć ekonomii, mieć charakter oryginalnych prac badawczych, nie być wcześniej publikowane. Przyjmowane są wyłącznie teksty w języku angielskim.

Prace prosimy przesyłać e-mailem na adres: a1/p\kKD`6*lO~T5@iR?$r|HLP^]#[Y{|\FZ/1B%j_C?L~|rH3/Xa=UAK

Prosimy przesyłać dwa pliki:

(1) główny tekst bez podania tytułu artykułu oraz autorów (plik DOC/DOCX) oraz

(2) stronę tytułową zawierającą: tytuł opracowania, autorów oraz ich afiliację (plik DOC/DOCX). 

Przed przesłaniem tekstu prosimy zapoznać się z szczegółowymi wymogami edycyjnymi.

Redaktorem wydawniczym serii Working Papers jest dr Maciej Bukowski.

Ilość wyników 4

WP(23/2025)486. Does Pair Trading Still Work During Extreme Events? A Comprehensive Empirical Evidence from Chinese Stock Market

Autorzy: Sun Yufei
This study evaluates the performance of pairs trading strategies in the Chinese stock market across extreme market environments, including the Financial Crisis, Bull and Bear phases, and the COVID-19 period. Using a comprehensive stock dataset and in…

WP486. Does Pair Trading Still Work During Extreme Events? A Comprehensive Empirical Evidence from Chinese Stock Market

This study evaluates the performance of pairs trading strategies in the Chinese stock market across extreme market environments, including the Financial Crisis, Bull and Bear phases, and the COVID-19 period. Using a comprehensive stock dataset and incorporating transaction costs, we find that most portfolios deliver near-zero excess returns after costs. However, in volatile conditions—especially during the Financial Crisis—top-performing portfolios achieved monthly returns up to 156 basis points. The strategy underperforms in stable or bullish markets with fewer mean-reversion opportunities. COVID-19 introduced challenges that further reduced profitability. Results highlight the critical role of transaction costs and the importance of advanced pair selection methods, such as combining the Sum of Squared Deviations (SSD), Hurst exponent, and the Number of Zero Crossings (NZC), which consistently outperform traditional approaches. While generally unprofitable, pairs trading can succeed under specific market regimes, offering insights into risk management and strategy adaptation.


DOI: https://doi.org/10.33138/2957-0506.2025.23.486
Sun Yufei
Pairs Trading Statistical Arbitrage Sum of Squared Deviations Hurst Exponent Chinese Stock Market

WP(20/2025)483. Performance of Pairs Trading Strategies Based on Renko and Kagi Charts

Autorzy: Sun Yufei
This paper investigates the profitability and robustness of pairs trading strategies based on non-parametric technical chart constructions—Renko and Kagi—across the U.S. and Chinese equity markets. Within a market-neutral, mean-reversion …

WP483. Performance of Pairs Trading Strategies Based on Renko and Kagi Charts

This paper investigates the profitability and robustness of pairs trading strategies based on non-parametric technical chart constructions—Renko and Kagi—across the U.S. and Chinese equity markets. Within a market-neutral, mean-reversion framework, the study examines strategy performance under varying market regimes, including the Global Financial Crisis (GFC) and the COVID-19 period. Using historical data from indices such as the S&P 500 and the CSI series, pairs are selected via statistical patterns in Renko and Kagi charts. Robustness checks consider varying trading horizons, the number of pairs, and transaction costs. Results show that both chart-based strategies generate significant excess returns and exhibit strong Sharpe ratios before costs. While trading frictions reduce profitability, Renko-based strategies remain resilient, especially during crises. The findings highlight that adaptive and non-parametric charting methods can effectively capture transient mispricings and provide viable alternatives for statistical arbitrage in turbulent markets.


DOI: https://doi.org/10.33138/2957-0506.2025.20.483
Sun Yufei
Pairs trading; Quantitative strategies; Statistical arbitrage; Kagi Chart; Renko Chart; H-Strategy

WP(19/2025)482. A survey of statistical arbitrage pairs trading strategies with non-machine learning methods, 2016-2023

Autorzy: Sun Yufei
This review examines the growing literature on pairs trading frameworks, which involve relative value arbitrage strategies between two or more securities. Existing research is categorized into five main categories: distance methods use nonparametric …

WP482. A survey of statistical arbitrage pairs trading strategies with non-machine learning methods, 2016-2023

This review examines the growing literature on pairs trading frameworks, which involve relative value arbitrage strategies between two or more securities. Existing research is categorized into five main categories: distance methods use nonparametric distance measures to identify pairs trading opportunities; cointegration methods rely on formal cointegration tests to reveal stationary time series of spreads; time series methods focus on finding optimal trading rules for mean-reverting spreads; stochastic control methods aim to determine the optimal portfolio holdings in pairs trading relative to other available securities; and the "Other Methods" category encompasses other relevant pairs trading frameworks, albeit with a more limited supporting literature. Through a comprehensive review of over 100 papers published between 2016 and 2023, the survey identifies the key strengths and weaknesses of each approach, providing insights relevant for future research and practical implementation.


DOI: https://doi.org/10.33138/2957-0506.2025.19.482
Sun Yufei
statistical arbitrage pairs trading distance method cointegration method time series method stochastic control method mean-reversion

WP(2/2022)378. The profitability of pairs trading strategies on Hong-Kong stock market: distance, cointegration, and correlation methods

Autorzy: Baiquan Ma, Ślepaczuk Robert
This research aims to compare the profitability of correlation-based pair trading strategy, cointegration-based pair trading strategy, and distance-based pair trading strategy on the Hong Kong stock market. We try to build an effective pair trading s…

WP378. The profitability of pairs trading strategies on Hong-Kong stock market: distance, cointegration, and correlation methods

This research aims to compare the profitability of correlation-based pair trading strategy, cointegration-based pair trading strategy, and distance-based pair trading strategy on the Hong Kong stock market. We try to build an effective pair trading strategy based on 50 stocks listed in the Hang Seng index joining them in market-neutral pairs. The dataset has a daily frequency and covers the period from 07/01/2013 to 07/01/2020. The result shows that all three methods are profitable in the Hong Kong stock market and can beat the market with regard to risk-adjusted return metrics. This result is quite sensitive to the varying number of pairs traded and rebalancing period and less sensitive to financial leverage degree. Moreover, the cointegration method is superior as compared to the correlation method and distance method.


Baiquan Ma, Ślepaczuk Robert
pairs trading strategy market neutral strategy algorithmic trading strategy distance method cointegration and correlation trading efficient market hypothesis investment portfolio algorithmic trading Hang Seng index
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