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P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

Page 21Chunk 25Score 1768

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option price, delta, implied leverage, and the implied (β_option, σ_option, μ_option) used to embed the option into

P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

Page 36Chunk 41Score 1000

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option pricing. The Bell Journal of Economics and Management Science, 4(1), 141–183. https://doi.org/10.2307/3003143 40. Michaud, R. O. (1989). The Markowitz

Stochastic calculus and financial applications

_OceanofPDF.com_Stochastic_Calculus_and_Financial_Applications_-_J_Michael_Steele.pdf

Page 255Chunk 248Score 693

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option is not so abstract after all. In fact, even with a bit less work than was needed to solve the Black-Scholes PDE, we were able to recapture the classical Black-Scholes formula for the arbitrage price

Stochastic calculus and financial applications

_OceanofPDF.com_Stochastic_Calculus_and_Financial_Applications_-_J_Michael_Steele.pdf

Page 273Chunk 266Score 602

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pricing theory are given by the familiar formulas (14.85) at = u(co, t) and bt = Ut u(co,t) D. d(, t) d(co,t) t On the other hand, the PDE method can be applied under the classic Black-Scholes model with constant pc, a, and r to show that for the call option

P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

Page 35Chunk 40Score 507

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pricing of options and corporate liabilities. Journal of Political Economy, 81(3), 637–654. https://doi.org/10.1086/260062 7. Bodie, Z., Kane

P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

Page 20Chunk 24Score 472

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pricing and delta-based linearization. We report baseline (Case A) and option-augmented (Case B) portfolios, explicitly documenting how option

P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

Page 6Chunk 9Score 381

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Options introduce non-linear payoffs into a mean–variance scaffold. The Black–Scholes–Merton framework provides a closed-form price

Stochastic calculus and financial applications

_OceanofPDF.com_Stochastic_Calculus_and_Financial_Applications_-_J_Michael_Steele.pdf

Page 269Chunk 262Score 177

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pricing formula (14.76) Vt = OtEQ (XiOT I We then saw what this representation could do for us, and, in particular, we found that the simple formula (14.76) could recapture the Black-Scholes formula for a call option

P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

Page 2Chunk 2Score 42

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option exposures into a mean–variance scaffold without collapsing auditability? The present study answers with a replicable, delta‑based embedding of a European call priced

Stochastic calculus and financial applications

_OceanofPDF.com_Stochastic_Calculus_and_Financial_Applications_-_J_Michael_Steele.pdf

Page 248Chunk 241Score 38

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option because if we let t = T in equation (14.4) then the two interest rate adjustments exactly cancel to give VT = X. A FURTHER WORD ABOUT Q We have tried to follow the lead of the discrete-time problem in our design of the pricing

Stochastic calculus and financial applications

_OceanofPDF.com_Stochastic_Calculus_and_Financial_Applications_-_J_Michael_Steele.pdf

Page 302Chunk 293Score 36

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pricing formula as the best guess of a streetwise gambler evolved from discussions with Mike Harrison, although no reliable memory remains of who was talking and who was listening. Proposition 14.1 and its proof were kindly provided by Marc Yor. The discussion of the American option

P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

Page 33Chunk 37Score 32

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price C, delta Δ, and leverage factor L = (Δ·S0)/C are used to embed the derivative into the mean–variance space as an additional “asset” with CAPM‑consistent moments (β_option

P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

Page 33Chunk 38Score 32

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price C, delta Δ, and leverage factor L = (Δ·S0)/C are used to embed the derivative into the mean–variance space as an additional “asset” with CAPM‑consistent moments (β_option

Stochastic calculus and financial applications

_OceanofPDF.com_Stochastic_Calculus_and_Financial_Applications_-_J_Michael_Steele.pdf

Page 169Chunk 163Score 31

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prices of the stock and bond change continuously, we have the opportunity to continuously rebalance our portfolio — that is, at each instant we may sell some of the stock to buy more bonds, or vice versa. This possibility of continuous rebalancing gives us the flexibility we need to replicate the cash flow of the call option

Stochastic calculus and financial applications

_OceanofPDF.com_Stochastic_Calculus_and_Financial_Applications_-_J_Michael_Steele.pdf

Page 165Chunk 159Score 23

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price. If this were not so, we could simultaneously sell the more expensive instrument and buy the cheaper one; we would make an immediate profit and the payment stream from our purchase could be used to meet the obligations from our sale. There would be no net cash flows after the initial action so we would have secured our arbitrage

P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

Page 8Chunk 12Score 20

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price is: C = S0·N(d1) − K·exp(−rT)·N(d2) (3.19) d1 = [ln(S0/K) + (r + σ²/2)T] / (σ√T) (3.20) d2 = d1 − σ√T (3.21) We fix the contract specification (S0,K,T,r,σ) and the underlying industry. Using a first-order (delta-only) linearization, the option

Stochastic calculus and financial applications

_OceanofPDF.com_Stochastic_Calculus_and_Financial_Applications_-_J_Michael_Steele.pdf

Page 284Chunk 276Score 16

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option corresponds to the unbounded function h(x) = (x - K) +. As a practical matter, this concern is groundless. If we replace h(x) by ho(x) = min(h(x), M), where M denotes the total of all of the money in the universe, then ho is bounded and even sharp-penciled hedge fund partners will be happy to accept

P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

P vs NP Problem in Portfolio Optimization- Integrating the Markowitz–CAPM Framework with Cardinality Constraints and Black–Scholes Derivative Pricing.pdf

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Pricing Davit Gondauri, ORCID: https://orcid.org/0000-0002-9611-3688 Professor, Doctor of Business Administration, Business & Technology University, Georgia Corresponding author: Davit Gondauri, Dgondauri@gmail.com Type of manuscript: research paper Abstract This study develops an integrated economic–computational framework for portfolio construction that makes the P versus NP divide operational within a financially auditable Markowitz–CAPM setting. Starting from the convex mean–variance program