Search results
Results from the WOW.Com Content Network
In finance, the Monte Carlo method is used to simulate the various sources of uncertainty that affect the value of the instrument, portfolio or investment in question, and to then calculate a representative value given these possible values of the underlying inputs. [1] ("Covering all conceivable real world contingencies in proportion to their ...
Monte Carlo method: Pouring out a box of coins on a table, and then computing the ratio of coins that land heads versus tails is a Monte Carlo method of determining the behavior of repeated coin tosses, but it is not a simulation. Monte Carlo simulation: Drawing a large number of pseudo-random uniform variables from the interval [0,1] at one ...
Monte Carlo simulated stock price time series and random number generator (allows for choice of distribution), Steven Whitney; Discussion papers and documents. Monte Carlo Simulation, Prof. Don M. Chance, Louisiana State University; Pricing complex options using a simple Monte Carlo Simulation, Peter Fink (reprint at quantnotes.com)
Portfolio optimization is the process of selecting an optimal portfolio (asset distribution), out of a set of considered portfolios, according to some objective.The objective typically maximizes factors such as expected return, and minimizes costs like financial risk, resulting in a multi-objective optimization problem.
A discrete event simulation software with a drag-and-drop interface for modeling simulations in 3D. January 21, 2022 [6] GoldSim: GoldSim Technology Group LLC Combines system dynamics with aspects of discrete event simulation, embedded in a Monte Carlo framework. September 21, 2015 [7] GPSS: Various A discrete event simulation language.
Aladdin is based on a pool of historical data that uses Monte Carlo simulation to select large, randomly generated samples from the very large number of possible future scenarios. This generates a statistical picture of different scenarios for equities and bonds under different future conditions. A portfolio can also be subjected to a stress test.
The name refers to the Monte Carlo casino in the Principality of Monaco, which is well-known around the world as an icon of gambling. The term "Monte Carlo" was first introduced in 1947 by Nicholas Metropolis. [3] Las Vegas algorithms are a dual of Monte Carlo algorithms and never return an incorrect answer. However, they may make random ...
The Wolff algorithm, [1] named after Ulli Wolff, is an algorithm for Monte Carlo simulation of the Ising model and Potts model in which the unit to be flipped is not a single spin (as in the heat bath or Metropolis algorithms) but a cluster of them.