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Optimal stopping problems can be found in areas of statistics, economics, and mathematical finance (related to the pricing of American options). A key example of an optimal stopping problem is the secretary problem.
Generally, a firm must have revenue , total costs, in order to avoid losses. However, in the short run, all fixed costs are sunk costs . Netting out fixed costs, a firm then faces the requirement that R ≥ V C {\displaystyle R\geq VC} (total revenue equals or exceeds variable costs), in order to continue operating.
This buying may proceed automatically, for example if the short sellers had previously placed stop-loss orders with their brokers to prepare for this possibility. Alternatively, short sellers simply deciding to cut their losses and get out (rather than lacking collateral funds to meet their margin) can cause a squeeze.
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It is a trend-following (lagging) indicator and may be used to set a trailing stop loss or determine entry or exit points based on prices tending to stay within a parabolic curve during a strong trend. Similar to option theory's concept of time decay, the concept draws on the idea that "time is the enemy". Thus, unless a security can continue ...
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When the stop price is reached, a stop order becomes a market order. A buy-stop order is entered at a stop price above the current market price. Investors generally use a buy-stop order to limit a loss, or to protect a profit, on a stock that they have sold short. A sell-stop order is entered at a stop price below the current market price.
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