How does cross currency basis affect the trading volume of cryptocurrencies?

3 answers

• Prince FowzanAug 13, 2020 · 6 years ago
  The cross currency basis refers to the difference in interest rates between two currencies when borrowing and lending. In the context of cryptocurrencies, it can affect the trading volume by influencing the cost of borrowing and lending different currencies. For example, if the cross currency basis is high, it may discourage traders from borrowing one currency to trade for another, resulting in lower trading volume. On the other hand, a low cross currency basis can incentivize traders to engage in arbitrage opportunities, leading to higher trading volume. Overall, the cross currency basis can have a significant impact on the trading volume of cryptocurrencies.
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• de zaAug 13, 2021 · 5 years ago
  Cross currency basis plays a crucial role in determining the cost of trading cryptocurrencies. When the cross currency basis is high, it indicates a higher cost of borrowing one currency to trade for another. This can discourage traders from engaging in cross-currency trades, leading to lower trading volume. Conversely, a low cross currency basis can make cross-currency trades more attractive, resulting in higher trading volume. Therefore, monitoring the cross currency basis is essential for understanding the dynamics of cryptocurrency trading volume.
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• faiz-gearJun 26, 2021 · 5 years ago
  The cross currency basis affects the trading volume of cryptocurrencies by influencing the cost and availability of different currencies. When the cross currency basis is high, it indicates a higher cost of borrowing one currency to trade for another. This can limit the trading activities between different currencies, leading to lower trading volume. Conversely, a low cross currency basis can make it more affordable and accessible to trade between different currencies, resulting in higher trading volume. Traders closely monitor the cross currency basis to identify arbitrage opportunities and make informed trading decisions.
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