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Stock correlation describes the relationship that exists between two stocks and their respective price movements. It can also refer to the relationship between stocks and other asset classes, such ...
A riskier stock will have a higher beta and will be discounted at a higher rate; less sensitive stocks will have lower betas and be discounted at a lower rate. In theory, an asset is correctly priced when its observed price is the same as its value calculated using the CAPM derived discount rate.
For example, the prices of equity stocks and fixed interest bonds often move in opposite directions: when investors sell stocks, they often use the proceeds to buy bonds and vice versa. In this case, stock and bond prices are negatively correlated. Financial correlations play a key role in modern finance.
Note that the favorable effect of diversification on portfolio variance would be enhanced if and were negatively correlated but diminished (though not eliminated) if they were positively correlated. In general, the presence of more assets in a portfolio leads to greater diversification benefits, as can be seen by considering portfolio variance ...
The pairs trade helps to hedge sector- and market-risk. For example, if the whole market crashes, and the two stocks plummet along with it, the trade should result in a gain on the short position and a negating loss on the long position, leaving the profit close to zero in spite of the large move.
Since 2020, Bitcoin's performance has been correlated with long-duration tech stocks, Nic Carter, a partner at Castle Island Ventures and a co-founder of Coin Metrics, told Yahoo Finance Live.
In finance, correlation trading is a strategy in which the investor gets exposure to the average correlation of an index.. The key to correlation trading is being able to predict when future realized correlation amongst the stocks of a particular index will be greater or less than the "implied" correlation level derived from derivatives on the index and its single stocks.
The correlation coefficient is +1 in the case of a perfect direct (increasing) linear relationship (correlation), −1 in the case of a perfect inverse (decreasing) linear relationship (anti-correlation), [5] and some value in the open interval (,) in all other cases, indicating the degree of linear dependence between the variables. As it ...