We further explore the significance of cryptocurrency fundamentals at the aggregate market level using traditional asset pricing tests. For this analysis, we construct risk factors that are based on aggregate values of computing power and network. We denote the aggregate computing power factor with ACP and aggregate network factor with ANET. The innovation in constructing these factors is that we express them in cryptocurrency return units following the factor mimicking portfolio approach (Knez et al. 1994, Lamont 2001, Vassalou 2003).
Cryptocurrency, the blockchain-based digital currency that has captured the interest of investors and financial service firms alike, has a challenging problem. It can be hard to actually spend this currency like you would regular money.

There is no publicly available information about what percentage of assets held by the exchange are kept in secure, offline cold storage vs. online hot wallets, or if there is an insurance policy that protects investors. You must have a Binance.US account to send queries to the help desk, so we were unable to get more information that way.
For every transaction carried out on the blockchain, 4JNET will withhold 90% of the transaction amount. This will be the service charge. This way, 4JNET can maintain stable prices for the token. Then 6% will be distributed to all token holders, while the remainder will be transferred into a 4JNET liquidity pool.