Using multivariate stochastic factor analysis, this paper examines the volatility spillover between cryptocurrencies as a potential asset class and gold as a conventional investment asset by analyzing data on the prices of cryptocurrencies such as Bitcoin, Litecoin, and Dogecoin. These prices were compared to gold and crude oil futures and the S&P 500 indices for the period between January 1, 2015 and December 31, 2023. Data analysis was done using R programming and employing the stochvol and factorstochvol packages for evaluating volatility spillover. Considering estimation, the SV model was used to approximate the volatilities between cryptocurrencies and conventional assets. Empirical evidence suggests that the volatility spillover between cryptocurrencies and gold, as well as other conventional assets, has cross-quantile interdependence between the variables investigated. This implies that diversification can benefit investors in managing risk in their portfolios as these assets can differ significantly under different market conditions. This research has important implications, especially for policymakers, as they seek to establish policies aimed at promoting stable financial markets. In addition, it provides valuable insights for the deployment of volatility-based financial assets for hedging.