EconPapers    
Economics at your fingertips  
 

Does Short-and-Distort Scheme Really Exist? A Bitcoin Futures Audit Scheme through BIRCH & BPNN Approach

Dun Li (), Dezhi Han, Zibin Zheng (), Tien-Hsiung Weng, Kuan-Ching Li (), Ming Li and Shaokang Cai
Additional contact information
Dun Li: Shanghai Maritime University
Dezhi Han: Shanghai Maritime University
Zibin Zheng: Sun Yat-sen University
Tien-Hsiung Weng: Providence University
Kuan-Ching Li: Providence University
Ming Li: Shanghai Maritime University
Shaokang Cai: Shanghai Maritime University

Computational Economics, 2024, vol. 63, issue 4, No 14, 1649-1671

Abstract: 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.

Keywords: Bitcoin; Short-and-distort; BIRCH; BPNN (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10614-023-10378-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:compec:v:63:y:2024:i:4:d:10.1007_s10614-023-10378-3

Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2

DOI: 10.1007/s10614-023-10378-3

Access Statistics for this article

Computational Economics is currently edited by Hans Amman

More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:kap:compec:v:63:y:2024:i:4:d:10.1007_s10614-023-10378-3