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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.
An easier way to solve this problem in a two-output context is the Ramsey condition. According to Ramsey, in order to minimize deadweight losses, one must increase prices to rigid and elastic demands/supplies in the same proportion, in relation to the prices that would be charged at the first-best solution (price equal to marginal cost).
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In this edition of The Motley Fool's "Ask a Fool" series, Motley Fool One analyst Jason Moser takes a question from a reader who asks: "When you make a recommendation on one of your share services ...
Pages for logged out editors learn more. Contributions; Talk; Stop loss order
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.
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.