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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.
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.
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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Stop-loss may refer to: Stop-loss insurance, an insurance policy that goes into effect after a set amount is paid in claims; Stop-loss order, stock or commodity market order to close a position if/when losses reach a threshold; Stop-loss policy, US military requirement for soldiers to remain in service beyond their normal discharge date
Stop loss: Set a stop loss based on maximum loss acceptable. For example, if the recent, say 10-day, average true range is 0.5% of current market price, stop loss could be set at 4x0.5% = 2%. Conventional wisdom on stop losses set the risk per trade anywhere between 1%-5% of capital for a single trade; this risk varies from one trader to another.
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 ...