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  2. Simulacra and Simulation - Wikipedia

    en.wikipedia.org/wiki/Simulacra_and_Simulation

    Simulacra and Simulation (French: Simulacres et Simulation) is a 1981 philosophical treatise by the philosopher and cultural theorist Jean Baudrillard, in which he seeks to examine the relationships between reality, symbols, and society, in particular the significations and symbolism of culture and media involved in constructing an understanding of shared existence.

  3. GoldSim - Wikipedia

    en.wikipedia.org/wiki/GoldSim

    GoldSim is dynamic, probabilistic simulation software developed by GoldSim Technology Group. This general-purpose simulator is a hybrid of several simulation approaches, combining an extension of system dynamics with some aspects of discrete event simulation, and embedding the dynamic simulation engine within a Monte Carlo simulation framework.

  4. Monte Carlo methods in finance - Wikipedia

    en.wikipedia.org/wiki/Monte_Carlo_methods_in_finance

    Monte Carlo methods were first introduced to finance in 1964 by David B. Hertz through his Harvard Business Review article, [3] discussing their application in Corporate Finance. In 1977, Phelim Boyle pioneered the use of simulation in derivative valuation in his seminal Journal of Financial Economics paper. [4]

  5. GLD vs GLDM: Which Gold ETF Belongs In Your Portfolio?

    www.aol.com/gld-vs-gldm-gold-etf-155022264.html

    Largest Hedge Fund holders Jane St. Group, BAC, JPM, MS (486 total) As the largest gold ETF on the market, GLD tracks the London spot market for gold, analysts who track the ETF tend to view it ...

  6. Best gold ETFs: Top funds for investing in gold

    www.aol.com/finance/best-gold-etfs-top-funds...

    The fund invests in physical gold, and its performance is highly correlated to gold spot prices. 2024 YTD performance: 23.6 percent. Five-year annual return: 10.8 percent.

  7. Historical simulation (finance) - Wikipedia

    en.wikipedia.org/wiki/Historical_simulation...

    Historical simulation in finance's value at risk (VaR) analysis is a procedure for predicting the value at risk by 'simulating' or constructing the cumulative distribution function (CDF) of assets returns over time assuming that future returns will be directly sampled from past returns.

  8. Modeling and simulation - Wikipedia

    en.wikipedia.org/wiki/Modeling_and_simulation

    Modeling and simulation (M&S) is the use of models (e.g., physical, mathematical, behavioral, or logical representation of a system, entity, phenomenon, or process) as a basis for simulations to develop data utilized for managerial or technical decision making.

  9. Stock market simulator - Wikipedia

    en.wikipedia.org/wiki/Stock_market_simulator

    A stock market simulator is computer software that reproduces behavior and features of a stock market, so that a user may practice trading stocks without financial risk. Paper trading , sometimes also called "virtual stock trading", is a simulated trading process in which would-be investors can practice investing without committing money.