We develop models to price long term loans in the securities lending business. These longer horizon deals can be viewed as contracts with optionality embedded in them and can be priced using established methods from derivatives theory, becoming to our limited knowledge, the first application that can lead to greater synergies between the operations of derivative and delta-one trading desks, perhaps even being able to combine certain aspects of the day to day operations of these seemingly disparate entities. We  run numerical simulations to demonstrate the practical applicability of these models. These models are part of one of the least explored yet profit laden areas of modern investment management. The methodologies developed here could be potentially useful for inventory management , for dealing with other financial instruments, non-financial commodities and many forms of uncertainty.
We develop models to price long term loans in the securities lending business. These longer horizon deals can be viewed as contracts with optionality embedded in them and can be priced using established methods from derivatives theory, becoming to our limited knowledge, the first application that can lead to greater synergies between the operations of derivative and delta-one trading desks, perhaps even being able to combine certain aspects of the day to day operations of these seemingly disparate entities. We develop a heuristic that can mitigate the loss of information that sets in, when parameters are estimated first and then the valuation is performed, by directly calculating the valuation using the historical time series. We run numerical simulations to demonstrate the practical applicability of these models. These models are part of one of the least explored yet profit laden areas of modern investment management. We illustrate how the methodologies developed here could be useful for inventory management . All these techniques could have applications for dealing with other financial instruments, non-financial commodities and many forms of uncertainty.
A
develop a heuristic that can mitigate the loss of information that sets in, when parameters are estimated first and then the valuation is performed, by directly calculating the valuation using the historical time series. We
R
The
We illustrate how the
D
potentially
R
,
. All these techniques could have applications