Abstract
Short and Distort (S &D) is a price manipulation scheme in the futures trading market. In recent years, S &D has become increasingly rampant due to the emergence of Bitcoin futures. While existing research has just begun to notice this phenomenon, this article presents the first detailed empirical study, where we examine the information available on S &D, synthesize it with cryptocurrencies, then propose a problematic definition and discriminatory criteria for S &D in Bitcoin futures. Besides, we provide a typical S &D case study, where we build a model to implement real-time detection of S &D in perpetual and term contracts, exhibiting higher accuracy and robustness compared to other related studies. Results show significant S &D manipulation in both perpetual and term contracts that the proposed model can effectively detect. Furthermore, the Binance exchange is relatively secure among selected exchanges, and the Bittrex exchange is the most likely to suffer from S &D.
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Abbas, B., Belatreche, A., Bouridane, A. (2018). Stock price manipulation detection using empirical mode decomposition based kernel density estimation clustering method. In Proceedings of SAI intelligent systems conference. Springer, pp. 851–866.
Ahmed, M., Choudhury, N. Uddin, S. (2017). Anomaly detection on big data in financial markets. In 2017 IEEE/ACM international conference on advances in social networks analysis and mining (ASONAM). IEEE, pp. 998–1001.
Aleti, S., Mizrach, B. (2019). Bitcoin spot and futures market microstructure. Available at SSRN 3459111.
Baek, H., Oh, J., Kim, C. Y., Lee, K. (2019). A model for detecting cryptocurrency transactions with discernible purpose. In 2019 eleventh international conference on ubiquitous and future networks (ICUFN). IEEE, pp. 713–717.
Baig, A. S., Haroon, O., & Sabah, N. (2020). Price clustering after the introduction of bitcoin futures. Applied Finance Letters, 9, 36–42.
Bartling, B., & Park, A. (2010). How syndicate short sales affect the informational efficiency of IPO prices and underpricing. Journal of Financial and Quantitative Analysis, 45(2), 441–471.
Bouoiyour, J., & Selmi, R. (2019). How do futures contracts affect bitcoin prices? Economics Bulletin, 39(2), 1127–1134.
Campello, M., Matta, R., Saffi, P. A. (2020). Does stock manipulation distort corporate investment? the role of short selling costs and share repurchases, The Role of Short Selling Costs and Share Repurchases (August 7, 2020).
Chen, W., Xu, Y., Zheng, Z., Zhou, Y., Yang, J. E., Bian, J. (2019). Detecting pump & dump schemes on cryptocurrency market using an improved apriori algorithm. In 2019 IEEE international conference on service-oriented system engineering (SOSE). IEEE, pp. 293–2935.
Corbet, S., Lucey, B., Peat, M., & Vigne, S. (2018). Bitcoin futures-what use are they? Economics Letters, 172, 23–27.
Corbet, S., Lucey, B., Urquhart, A., & Yarovaya, L. (2019). Cryptocurrencies as a financial asset: A systematic analysis. International Review of Financial Analysis, 62, 182–199.
Cox, J. C., Ingersoll, J. E., Jr., & Ross, S. A. (1981). The relation between forward prices and futures prices. Journal of Financial Economics, 9(4), 321–346.
Dokuz, A. Ş., Çelik, M., Ecemiş, A. Anomaly detection in bitcoin prices using dbscan algorithm.
Fassas, A. P., Papadamou, S., & Koulis, A. (2020). Price discovery in bitcoin futures. Research in International Business and Finance, 52, 101116.
Golmohammadi, S. K. (2016). Time series contextual anomaly detection for detecting stock market manipulation.
Gurgul, H., & Suliga, M. (2020). Impact of futures expiration on underlying stocks: Intraday analysis for Warsaw Stock Exchange. Central European Journal of Operations Research, 28(3), 869–904.
Hu, Y., Seneviratne, S., Thilakarathna, K., Fukuda, K., Seneviratne, A. (2019). Characterizing and detecting money laundering activities on the bitcoin network. arXiv preprint arXiv:1912.12060.
Hu, Y., Hou, Y. G., & Oxley, L. (2020). What role do futures markets play in bitcoin pricing? causality, cointegration and price discovery from a time-varying perspective? International Review of Financial Analysis, 72, 101569.
Kamps, J., & Kleinberg, B. (2018). To the moon: Defining and detecting cryptocurrency pump-and-dumps. Crime Science, 7(1), 18.
Kim, W., Lee, J., & Kang, K. (2020). The effects of the introduction of bitcoin futures on the volatility of bitcoin returns. Finance Research Letters, 33, 101204.
La Morgia, M., Mei, A., Sassi, F., Stefa, J. (2020). Pump and dumps in the bitcoin era: Real time detection of cryptocurrency market manipulations. arXiv preprint arXiv:2005.06610.
Li, Y., Zheng, Z., & Dai, H.-N. (2020). Enhancing bitcoin price fluctuation prediction using attentive LSTM and embedding network. Applied Sciences, 10(14), 4872.
Matkovskyy, R., & Jalan, A. (2019). From financial markets to bitcoin markets: A fresh look at the contagion effect. Finance Research Letters, 31, 93–97.
Mitts, J. (2020). Short and distort, Columbia law and economics working paper, 592.
Mitts, J. (2020). Short and distort. The Journal of Legal Studies, 49, 287–334.
Nakamoto, S. (2019). Bitcoin: A peer-to-peer electronic cash system. Manubot: Tech. Rep.
Peng, Y., Wang, G., Kou, G., & Shi, Y. (2011). An empirical study of classification algorithm evaluation for financial risk prediction. Applied Soft Computing, 11(2), 2906–2915.
Pham, T., Lee, S. (2016). Anomaly detection in the bitcoin system-a network perspective. arXiv preprint arXiv:1611.03942.
Ryznar, M. (2018). The future of bitcoin futures. Houston Law Review, 56, 539.
Sayadi, S., Rejeb, S. B. Choukair, Z. (2019). Anomaly detection model over blockchain electronic transactions. In 2019 15th international wireless communications & mobile computing conference (IWCMC). IEEE, pp. 895–900.
Sebastião, H., & Godinho, P. (2020). Bitcoin futures: An effective tool for hedging cryptocurrencies. Finance Research Letters, 33, 101230.
Shafiq, O. (2019). Anomaly detection in blockchain.
Shi, F.-B., Sun, X.-Q., Gao, J.-H., Xu, L., Shen, H.-W., & Cheng, X.-Q. (2019). Anomaly detection in bitcoin market via price return analysis. PloS One, 14(6), e0218341.
Smales, L. A. (2019). Bitcoin as a safe haven: Is it even worth considering? Finance Research Letters, 30, 385–393.
Song, Y., Cao, L., Wu, X., Wei, G., Ye, W., Ding, W. (2012). Coupled behavior analysis for capturing coupling relationships in group-based market manipulations. In Proceedings of the 18th ACM SIGKDD international conference on knowledge discovery and data mining, pp. 976–984.
Su, C.-W., Li, Z.-Z., Tao, R., & Si, D.-K. (2018). Retracted: Testing for multiple bubbles in bitcoin markets: A generalized sup adf test. Elseiver.
Wang, G., & Miao, J. (2020). Design of data mining algorithm based on rough entropy for us stock market abnormality[J]. Journal of Intelligent & Fuzzy Systems, 39(4), 5213–5221.
Weber, M., Domeniconi, G., Chen, J., Weidele, D. K. I., Bellei, C. Robinson, T., Leiserson, C. E. (2019). Anti-money laundering in bitcoin: Experimenting with graph convolutional networks for financial forensics. arXiv preprint arXiv:1908.02591.
Weiner, P. M., Weber, R., Hsu, K. (2017). The growing menace of short and distort campaigns, Thomson Reuters, Eagan, vol. 31.
Weiner, P. M., Totino, E. D., & Goodman, A. (2019). SEC issues warning to analysts profiting from “short and distort” schemes, opens the door for civil claims[J]. Journal of Investment Compliance, 20(2), 34–38.
Xu, J. Livshits, B. (2019). The anatomy of a cryptocurrency pump-and-dump scheme. In 28th\(\{\)USENIX\(\}\)Security symposium (\(\{\)USENIX\(\}\)Security 19), pp. 1609–1625.
Yermack, D. (2015). Is bitcoin a real currency? an economic appraisal. In Handbook of digital currency. Elsevier, pp. 31–43.
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This work is supported by the National Natural Science Foundation of China under grants 61672338 and 61873160.
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Li, D., Han, D., Zheng, Z. et al. Does Short-and-Distort Scheme Really Exist? A Bitcoin Futures Audit Scheme through BIRCH & BPNN Approach. Comput Econ 63, 1649–1671 (2024). https://doi.org/10.1007/s10614-023-10378-3
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DOI: https://doi.org/10.1007/s10614-023-10378-3