Sentence examples for optimal financing from inspiring English sources
Therefore, we recommend that Statistical authorities should be autonomous or semi-autonomous and receive optimal financing as a necessity.
There was no consensus amongst the respondents regarding an optimal financing mechanism; several different options were mentioned.
So the theory of nonlinear fractional differential equations can be widely applied in many branches such as the optimal control, finance, chaos, physics, etc.
SDEs are also utilized in the field of finance as they are optimal to modern finance theory and have been broadly employed to model the behavior of key variables; the variables include the asset returns, asset prices, instantaneous short-term interest rate and their volatility.
While renminbi funds are optimal for early financing that startups need immediate access to, Gobi plans to recommend the best performing startups for follow-on financing from its U.S. dollar funds as they seek larger rounds to fuel growth.
We show that the optimal unemployment benefits financing scheme – corresponding to the Ramsey policy – offsets labor market imperfections and allows implementation of the Pareto allocation.
In this paper, we study the optimal unemployment benefits financing scheme when the economy is subject to labor market imperfections characterized by real wage rigidities and search frictions.
Offering limited rights on some of its territorial assets while retaining sovereignty over them can be an optimal way to finance a reduction of state debt.
We analyze the optimal contract to finance the series of investments of a growing firm.
The general nonlinear backward stochastic differential equations (BSDEs) were first developed by Pardoux and Peng [1] and have been widely applied in the optimal control, mathematical finance, and related fields (see Peng [2, 3], Karoui et al. [4]).
However, it is recognised PVA schemes may be the optimal method to finance new medicines especially where there are currently limited demand side measures to control off-label prescribing or prescribing in patient populations where the new medicine is less cost-effective [ 36, 79].
