Search results
Results From The WOW.Com Content Network
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.
A stop price is the price in a stop order that triggers the creation of a market order. In the case of a Sell on Stop order, a market sell order is triggered when the market price reaches or falls below the stop price. For Buy on Stop orders, a market buy order is triggered when the market price of the stock rises to or above the stop price.
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.
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.
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
A famous loss-aversion experiment is to offer a subject two options: They can either either receive something like $30 in guaranteed money — or a coin flip where they can receive either $100 or ...
The AOL.com video experience serves up the best video content from AOL and around the web, curating informative and entertaining snackable videos.
In order to study sudden stop episodes, using data from the 1994 economic crisis in Mexico, this model decomposes it to obtain a representation of transitory and permanent technology shocks. The results show that including permanent technology shocks is able to produce the behavior observed during a sudden stop episode.