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  2. Merton's portfolio problem - Wikipedia

    en.wikipedia.org/wiki/Merton's_portfolio_problem

    He starts with a known initial wealth W 0 (which may include the present value of wage income). At time t he must choose what amount of his wealth to consume, c t, and what fraction of wealth to invest in a stock portfolio, π t (the remaining fraction 1 − π t being invested in the risk-free asset). The objective is

  3. Monte Carlo methods for option pricing - Wikipedia

    en.wikipedia.org/wiki/Monte_Carlo_methods_for...

    The value is defined as the least squares regression against market price of the option value at that state and time (-step). Option value for this regression is defined as the value of exercise possibilities (dependent on market price) plus the value of the timestep value which that exercise would result in (defined in the previous step of the ...

  4. Real options valuation - Wikipedia

    en.wikipedia.org/wiki/Real_options_valuation

    Real options valuation, also often termed real options analysis, [1] (ROV or ROA) applies option valuation techniques to capital budgeting decisions. [2] A real option itself, is the right—but not the obligation—to undertake certain business initiatives, such as deferring, abandoning, expanding, staging, or contracting a capital investment project. [3]

  5. Modern portfolio theory - Wikipedia

    en.wikipedia.org/wiki/Modern_portfolio_theory

    The assets in financial portfolios are, for practical purposes, continuously divisible while portfolios of projects are "lumpy". For example, while we can compute that the optimal portfolio position for 3 stocks is, say, 44%, 35%, 21%, the optimal position for a project portfolio may not allow us to simply change the amount spent on a project.

  6. Portfolio optimization - Wikipedia

    en.wikipedia.org/wiki/Portfolio_optimization

    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.

  7. Markowitz model - Wikipedia

    en.wikipedia.org/wiki/Markowitz_model

    For selection of the optimal portfolio or the best portfolio, the risk-return preferences are analyzed. An investor who is highly risk averse will hold a portfolio on the lower left hand of the frontier, and an investor who isn’t too risk averse will choose a portfolio on the upper portion of the frontier. Figure 2: Risk-return indifference ...

  8. Valuation of options - Wikipedia

    en.wikipedia.org/wiki/Valuation_of_options

    Otherwise the intrinsic value is zero. For example, when a DJI call (bullish/long) option is 18,000 and the underlying DJI Index is priced at $18,050 then there is a $50 advantage even if the option were to expire today. This $50 is the intrinsic value of the option. In summary, intrinsic value: = current stock price − strike price (call option)

  9. Binomial options pricing model - Wikipedia

    en.wikipedia.org/wiki/Binomial_options_pricing_model

    In finance, the binomial options pricing model (BOPM) provides a generalizable numerical method for the valuation of options.Essentially, the model uses a "discrete-time" (lattice based) model of the varying price over time of the underlying financial instrument, addressing cases where the closed-form Black–Scholes formula is wanting, which in general does not exist for the BOPM.