The feasibility of arbitrage between TESLA and cryptocurrency

Authors

  • Yiwen Gong
  • Mingtao Zhang
  • Xiaoyuan Zhang

DOI:

https://doi.org/10.54691/bcpbm.v26i.2040

Keywords:

component; TESLA; pair trading; cryptocurrency; arbitrage.

Abstract

As cryptocurrencies become the target of many investors, it is speculated that there may be a correlation between the trading prices of cryptocurrencies and other assets (e.g., TESLA and BITCOIN). On this basis, we try to build an arbitrage model among the TESLA, BITCOIN, and DOGECOIN to validate the feasibility by simulations using their trading data for 5 years. After conducting the Augmented Dickey-Fuller test, Co-integration test, etc., TESLA and BITCOIN are best correlated that co-integrated over a relatively long period. Within the range of co-integration, we construct the arbitrage model and design the transaction signals by setting a certain threshold. Subsequently, backtestings are carried out accordingly, where different spreads as trading thresholds lead to different results with large differences in returns. These results shed light on the decision on arbitrage investments for cryptocurrencies and other assets.

Downloads

Download data is not yet available.

References

Dwyer, G. P. (2015). The economics of Bitcoin and similar private digital currencies. Journal of financial stability, 17, 81-91

BTC-USDT history data, available at:https://www.coinbase.com/price/bitcoin

Tesla, Inc.(2021) Annual Report for the fiscal year of 2020. Washington, D.C. United states securities and exchange commission available at: https://www.sec.gov/ix?doc=/Archives/edgar/data/1318605/000156459021004599/tsla-10k_20201231.htm

Gatev E , Goetzmann W N , Rouwenhorst K G. (2006). Pairs trading: performance of a relative-value arbitrage rule. The Review of Financial Studies(3), 3.

Vidyamurthy, G. (2004). Pairs trading: quantitative methods and analysis. Pearson Schweiz ag.

Huck N, Afawubo K. (2015). Pairs trading and selection methods: is cointegration superior? Applied Economics, 47(4-6):599-613.

The original data of the stock price of TESLA, BTC-DSDT and GOGE-USDT available at:https://www.nasdaq.com/market-activity/stocks/gs/real-time

TESLA market data, available at: https://finance.yahoo.com/quote/TSLA/history?period1=1592006400&period2=1623369600&interval=1d&filter=history&frequency=1d&includeAdjustedClose=true

BTC-USDT market data, available at: https://finance.yahoo.com/quote/BTCUSD/history?period1=1592006400&period2=1623369600&interval=1d&filter=history&frequency=1d&includeAdjustedClose=true

DOGE-USDT market data, available at: https://finance.yahoo.com/quote/DOGEUSD/history?period1=1592006400&period2=1623369600&interval=1d&filter=history&frequency=1d&includeAdjustedClose=true

Bonett D, Wright T. (2020). Sample size requirements for estimating Pearson, Kendall, and spearman correlations. Psychometrika, 2000, 65(1):23-28.

Kemei Hu, Weiling Liu, Jinghai Zhu, Lin Wang, Linbo Zhang & Zhongqiang Ma. (2013).Co-integration Theory-based Study on Environmental Kuznets Curve of Land Use Change Carbon Emission in Shenzhen. (eds.) Proceedings of 2013 International Conference on Mechatronic Systems and Materials Application(ICMSMA 2013)(pp. 106-111). TRANS TECH PUBLICATIONS.

Reviews official website: https://www.eviews.com/home.html

Seaborn official website: https://seaborn.pydata.org/

Downloads

Published

2022-09-19

How to Cite

Gong, Y., Zhang, M., & Zhang, X. (2022). The feasibility of arbitrage between TESLA and cryptocurrency. BCP Business & Management, 26, 794-803. https://doi.org/10.54691/bcpbm.v26i.2040