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The former US banking regulator and crypto enthusiast is resigning at a time when regulators in Hong Kong, Britain, Germany, Japan, Italy and Thailand have cracked down on Binance due to worries over investor protection. Watchdogs globally also fret that the boom in cryptocurrencies is aiding money laundering and increasing systemic risks.
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Over the last 24 hours, Ether (ETH), the currency for the Ethereum network, went from ₹3,86,457 to ₹3,80,498, with a market cap of ₹41.7T. In the same time, Litecoin (LTC) moved down from ₹23,859 to ₹21,497, a change of -9.90%, with a market cap of ₹1.4T. Ripple, or XRP, is another hugely popular token, with a market cap of ₹4.3T. In the last day, its value has changed -7.36%, moving from ₹105.61 to ₹97.85.
Identifying the determinants of asset prices is one of the most important questions in finance. Traditional asset pricing theories are founded on the idea that equity prices should be determined by fundamentals such as earnings (Gordon 1959, Campbell and Shiller 1988). In contrast, the behavioral finance literature posits that prices do not always follow fundamentals due to investor sentiment trading (Shiller 1981, Baker and Wurgler 2006, Stambaugh et al. 2012). Eventually however, equity prices seem to trace their fundamentals (Pa´stor and Veronesi, 2003, 2006, Bartram and Grinblatt 2018).
The same goes for the Safemoon exchange compared to the competing exchanges. The number of products that the Safemoon ecosystem will host is less than that of competing parts. In the long run, less revenue will be generated on the Safemoon network, which means the rewards for token staking will be lower compared to platforms like Bitrise.
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Fig 1. Price series for each cryptocurrency considered (each cryptocurrency priced in USD).
Learn Latest News BIC NFT Opinion Bitcoin Altcoin Prices Exchanges Press Releases btc $64970 -5.12% eth $4713 -2.68% bnb $625.71 -5.65% usdt $1 -0.85% sol $241.86 -0.48% ada $2.1 -7.78% xrp $1.21 -9.26% dot $48.39 -6.6% usdc $1 -1.23% doge $0.260246 -6.1% shib $5.639E-5 +6.39% luna $50.78 -1.27% AVAX $87.95 -2.87% ltc $264.84 -7.72% link $35.75 -3.83% Join Telegram
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In the case of cryptocurrencies, academia has barely scratched the surface with respect to identifying the determinants of their prices. For example, studies by Cheah and Fry (2015) and Corbet et al. (2018) claim that Bitcoin has no intrinsic value and that its price has persistently exhibited ‘bubble-like’ behaviour. Makarov and Schoar (2018) find that the prices of Bitcoin, Ethereum, and Ripple differ across exchanges for weeks. Outside of academia, the President of the United States recently tweeted that cryptocurrencies are based on “thin air”.1
This section details the data used in this work; all data collection was undertaken while following the appropriate terms of service and privacy conditions of each respective data source outlined below.
In an inflationary environment, assets like Bitcoin appear more attractive to investors. The BTC price rallied to a new all-time high on Wednesday.
Under Brooks' leadership at OCC, the regulator issued guidance regarding banks' use of stablecoins and blockchains, as well as an interpretive letter clarifying that national banks are allowed to provide cryptocurrency custody services.
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We set the stage for our formal econometric analysis by providing some graphical evidence. For example, in Figure 1, we see a close mapping of the prices of Bitcoin and Ethereum with their respective computing power values. Moreover, in Figure 2, we observe an even stronger mapping of the prices of Bitcoin and Ethereum with their respective network values. Interestingly, these graphs also show that when prices significantly exceed the trend in computing power or network (as was the case in late 2017), prices eventually fall and trace the trend in fundamentals. The convergence of prices to the trend with fundamentals suggests that fundamentals are the ultimate, long-run determinants of prices.