Cryptocurrency Prices Move With Trading Volume, Volatility, and Market Beta

A crypto price is not just a story about hype; in this paper, it also tracks market beta, trading volume, and volatility. Using weekly data from 2010 to 2018, the study looks at Bitcoin, Ethereum, Dash, Litecoin, and Monero with an ARDL (autoregressive distributed lag) approach, which tests how short- and long-run forces move together over time. The headline finding is that those crypto-market factors matter for all five coins in both the short run and the long run. The paper also finds that cryptocurrency attractiveness affects price only in the long run, suggesting that recognition spreads slowly through the market. The SP500 index shows a weak positive long-run impact on Bitcoin, Ethereum, and Litecoin, while in the short run its sign turns negative and mostly loses significance, except for Bitcoin at -0.20 with 10% significance. The error-correction models show that the five coins return toward long-run equilibrium at speeds of 23.68%, 12.76%, 10.20%, 22.91%, and 14.27%.

Bitcoin, Ethereum, Dash, Litecoin, and Monero did not all react to attention at the same speed. Weekly data from 2010 to 2018 show three forces again and again. One force measured how a coin moved with the wider market. Another measured how much of it changed hands. A third measured the size of price swings. All three mattered for every coin. The surprise sits elsewhere. Cryptocurrency attractiveness mattered only in the long run. That means recognition moved slowly through the market. If you have ever watched a coin jump after a burst of trading, this result explains the lag. The same slow pull also reached the S&P 500 link.

What moved every coin

Three market forces stood out across all five coins. Market beta means how strongly a coin moves with the wider market. Trading volume means how much of it changes hands. Volatility means how wild the price swings are. All three worked in both the short run and the long run. This test also found a slower force. Cryptocurrency attractiveness mattered, but only in the long run. In plain terms, attention had to settle before prices felt it. The S&P 500 stock index had a weak positive long-run link with Bitcoin, Ethereum, and Litecoin. In the short run, that link turned negative and mostly faded. Bitcoin still showed -0.20 at a weak 10% cutoff.

How the time test worked

Weekly data from 2010 to 2018 fed the test. The data covered Bitcoin, Ethereum, Dash, Litecoin, and Monero. The study used ARDL, short for autoregressive distributed lag. That is a way to test how past and present moves shape later prices. It also used the ARDL bound test, a check for a stable long-run link. Cointegrated series cannot drift too far apart. Error-correction models then measured how fast each coin snapped back toward balance after a gap opened. Those speeds are the 23.68%, 12.76%, 10.20%, 22.91%, and 14.27% figures in the abstract.

Why slow recognition matters

This makes crypto look less like a single mood swing. It looks more like a market with two clocks. One clock ticks fast. Trading volume and volatility move prices right away. The other clock ticks slowly. Attractiveness, or the sense that a coin has become worth noticing, takes time to show up. That split helps explain why a coin can feel hot online before the chart responds. It also helps explain why the S&P 500 link stays weak. Crypto does not ignore the wider stock market. But it does not simply follow it, either.

What to watch next

The surprise is not that crypto reacts to trading. It is that recognition takes time to reach price. A clean next test is the same weekly setup after 2018. That would show whether attractiveness still pulls Bitcoin, Ethereum, Dash, Litecoin, and Monero the same way. If it does, slow recognition will stay part of the crypto story. Traders and observers then need two checks. They must watch volume and swings first. They also need to watch attention.