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).
Income tax: Profits and losses from cryptocurrency transactions must be shown in a non-incorporated business’s accounts and are taxable/allowable under conventional income tax laws.
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Typically, meme coins don’t gain on fundamentals. Instead, they are usually driven by an internet-based joke.
In Bhambhwani et al. (2019), we challenge the perception that cryptocurrency markets are simply plagued with bubbles and speculative trading by identifying two key blockchain measures that affect cryptocurrency prices. Specifically, theory suggests that the trustworthiness and the transaction benefits of a blockchain are important determinants of cryptocurrency values. Pagnotta and Buraschi (2018) link trustworthiness to the computing power devoted to the blockchain. Biais et al. (2018) link transaction benefits of a cryptocurrency to the size of its network.
DLA PIPER REGISTERS TO REPRESENT KING OF JORDAN: In the days before Jordan’s King Abdullah was alleged in a report from the International Consortium of Investigative Journalists to have funneled $100 million through offshore companies to buy more than a dozen luxury homes in the U.S. and U.K., the monarch, a close U.S. ally, was in the midst of hiring the law firm DLA Piper to provide “legal advice related to potential defamation and other legal remedies associated with inquiries” or reports involving the king, according to documents filed with the Justice Department last week.
NFTs can be anything digital, and are commonly being used as a way to buy and sell digital art.
Barberis, N., A. Shleifer, and R. Vishny (1998), “A model of investor sentiment”, Journal of Financial Economics 49, 307{343.
Cryptocurrency. A digital currency secured through cryptography, or codes that can't be read without a key.
Model Coco Rocha on teaching her kids to push back against beauty standards by not using words like 'ugly'
A NEWLY launched cryptocurrency DogeZilla has exploded out of the gate – and some are wondering if this will be the next meme coin of preference.
While both offer a similar experience to their user base, there are certain important differences that could be important to the average cryptocurrency investor. Furthermore, as of late 2020, users in America can only Binance.US. However, for some other users, they have the choice. Read on for details of which may be better and why.
Cryptocurrencies like Bitcoin have traditionally had little price correlation with the stock market in the United States, so owning some can help diversify your portfolio. If you believe that cryptocurrency usage will grow in popularity over time, it's probably a good idea to invest in crypto as part of a balanced portfolio. Make sure you have an investment thesis for each cryptocurrency you buy. This will help you understand why the currency will stand the test of time.
OMAHA, Neb. (AP) — Nebraska banks that want to cash in on the cryptocurrency tech craze could start offering services to customers who own Bitcoin and other digital assets under a bill backed by Monday state lawmakers...
BEIJING (AP) — China’s biggest banks promised Monday to refuse to help customers trade Bitcoin and other cryptocurrencies after the central bank said executives were told to step up enforcement of a government ban.
“Don’t panic and puke,” Noble says. “If you keep your positions small, you can try to tolerate the volatility.” Cryptocurrency prices today: Bitcoin gains 7%; Ethereum, Dogecoin & XRP rise up to 9.7%
Notes: This figure plots weekly averages of log price and log network size (log of unique active addresses) of Bitcoin and Ethereum over the period from August 2015 to January 2019. We normalise both the time series by subtracting their mean and dividing by their standard deviation.
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