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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.
Social studies of finance is an interdisciplinary research area that combines perspectives from anthropology, economic sociology, science and technology studies, international political economy, behavioral finance, and cultural studies in the study of financial markets and financial instruments. Work in social studies of finance emphasizes the ...
In 2018, The Wall Street Journal reported that "a strategy consisting of just a 3.3% position in Universa with the rest invested passively in the S&P 500 had a compound annual return of 12.3% in the 10 years through February (2018), far better than the S&P 500 itself" (and portfolios with "more traditional hedges").
Trading the news; The news is an essential skill for astute portfolio management, and long term performance is the technique of making a profit by trading financial instruments (stock, currency...) just in time and in accordance to the occurrence of events. Trading Signals; Trading signal is simply a method to buy signals from signals provider. [7]
Front running, also known as tailgating, is the practice of entering into an equity trade, option, futures contract, derivative, or security-based swap to capitalize on advance, nonpublic knowledge of a large ("block") pending transaction that will influence the price of the underlying security. [1]
A 2025 study found that dark trading is harmful to financial market, as it either reduced market efficiency or entailed welfare losses. [ 4 ] Dark pools are heavily used in high-frequency trading , which has also led to a conflict of interest for those operating dark pools due to payment for order flow and priority access.
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In finance, statistical arbitrage (often abbreviated as Stat Arb or StatArb) is a class of short-term financial trading strategies that employ mean reversion models involving broadly diversified portfolios of securities (hundreds to thousands) held for short periods of time (generally seconds to days). These strategies are supported by ...