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Solutions Manual – Asset Pricing and Portfolio Choice Theory, 2nd Edition by Kerry Back | Complete Step‑by‑Step Solutions for All Chapters, Dynamic Asset Pricing, Stochastic Calculus, Portfolio Optimization & Equilibrium Models (PDF)

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The Solutions Manual for Asset Pricing and Portfolio Choice Theory, 2nd Edition provides fully worked, step‑by‑step solutions to every end‑of‑chapter problem, derivation, and quantitative exercise in Kerry Back’s advanced asset‑pricing text. This manual is essential for students and instructors working through stochastic calculus, continuous‑time finance, dynamic programming, equilibrium pricing, consumption‑based models, and portfolio‑choice theory. It is ideal for PhD students, master’s‑level finance programs, quantitative researchers, and instructors who require precise, mathematically detailed solutions. What This Solutions Manual Covers Foundations of Asset Pricing Preferences, utility, and risk aversion Stochastic discount factors and state‑price densities Arbitrage, replication, and fundamental theorems of asset pricing Dynamic Portfolio Choice Intertemporal optimization and Bellman equations Merton’s continuous‑time consumption–investment problem Optimal portfolio rules under CRRA, CARA, and habit formation Stochastic Calculus & Continuous‑Time Models Brownian motion, Ito’s Lemma, and diffusion processes Stochastic differential equations and asset‑price dynamics Martingale methods and risk‑neutral valuation Equilibrium Asset Pricing CAPM, ICAPM, and multi‑factor models Consumption‑based CAPM and Euler equations General equilibrium with heterogeneous agents Derivative Pricing Black–Scholes–Merton model derivations Option pricing using PDE and martingale methods Term‑structure models and interest‑rate dynamics Advanced Topics Incomplete markets and constrained optimization Portfolio choice with transaction costs Dynamic trading strategies and hedging What This Solutions Manual Includes Complete solutions for all chapters of the 2nd Edition Step‑by‑step derivations for mathematical and stochastic‑calculus problems Fully solved dynamic‑programming and continuous‑time optimization exercises Detailed equilibrium and pricing‑kernel solutions Graphical intuition and economic interpretation where relevant Clean, organized, searchable PDF Instructor‑ready formatting for teaching and exam preparation Why Students & Researchers Use This Manual Fully aligned with Kerry Back’s 2nd Edition Provides rigorous, graduate‑level explanations Strengthens understanding of continuous‑time finance and asset‑pricing theory Ideal for problem sets, qualifying exams, and research foundations Saves time by offering accurate, complete, and clearly structured solutions

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SOLUTIONS MANUAL ASSET PRICING AND PORTFOLIO CHOICE THEORY
SOLUTIONS MANUAL BY KERRY BACK 2ND EDITION

, Asset Pricing and Portfolio Choice Theory Kerry Back



Table Of Contents




Part I Single-Period Models

1 Utility Functions and Risk Aversion Coefficients.......................................................... 3

2 Portfolio Choice and Stochastic Discount Factors........................................................15

3 Equilibrium and Efficiency........................................................................................................25

4 Arbitrage and Stochastic Discount Factors..................................................................... 35

5 Mean-Variance Analysis..............................................................................................................41

6 Beta Pricing Models.................................................................................................................. 49

7 Representative Investors............................................................................................................. 59


Part II Dynamic Models

8 Dynamic Securities Markets................................................................................................... 69

9 Portfolio Choice by Dynamic Programming...................................................................77

10 Conditional Beta Pricing Models.........................................................................................89

11 Some Dynamic Equilibrium Models.................................................................................... 91

12 Brownian Motion and Stochastic Calculus....................................................................... 95

13 Continuous-Time Securities Markets and SDF Processes....................................... 111

,4 Contents


14 Continuous-Time Portfolio Choice and Beta Pricing............................................... 127


Part III Derivative Securities

15 Option Pricing.............................................................................................................................. 145

16 Forwards, Futures, and More Option Pricing................................................................ 159

17 Term Structure Models............................................................................................................ 175


Part IV Topics

18 Heterogeneous Priors................................................................................................................. 197

19 Asymmetric Information......................................................................................................... 203

20 Alternative Preferences in Single-Period Models........................................................209

21 Alternative Preferences in Dynamic Models.................................................................. 215

22 Production Models......................................................................................................................225

, Part I

Single-Period Models

1

Utility Functions and Risk Aversion Coefficients

1.1. Calculate the risk tolerance of each of the five special utility functions in Section 1.7 to verify
the formulas given in the text.



ur(w) 1
u(w) = —e—αw ⇒ ur(w) = αe—αw , urr(w) = —α2e—αw , — = .
u rr(w) α
1 1 ur(w)
u(w) = log w ⇒ ur(w) = , urr(w) = — , — = w.
w w2 urr(w) r
1 u (w) w
u(w) = w1—ρ ⇒ ur(w) = w—ρ , urr(w) = —ρw—ρ—1 , — = .
1—ρ urr(w)r ρ
1 1 u (w)
u(w) = log(w — ⇣ ) ⇒ u (w) =
r
, u (w) = —
rr
, — =w—⇣ .
✓ ◆ ✓ ◆
w — (w — ⇣ )2 urr(w)
✓ ◆

ρ w — ⇣ 1—ρ w — ⇣ —ρ w — ⇣ —ρ—1
u(w) = ⇒ u (w) =
r
, u (w) = —
rr
,
1—ρ ρ ρ ρ
ur(w) w — ⇣
— rr = .
u (w) ρ

1.2. Let ε˜ be a random variable with zero mean and variance equal to 1. Let π(σ) be the risk
premium for the gamble σε˜ at wealth w, meaning

u(w — π(σ)) = E [u(w + σε˜)] .

Assuming π is a sufficiently differentiable function, we have the Taylor series approximation
1 rr
π(σ) ≈ π(0) + πr(0)σ + π (0)σ2
2
for small σ. Obviously, π(0) = 0. Assuming differentiation and expectation can be interchanged,
differentiate both sides of (1.13) to show that πr(0) = 0 and πrr(0) is the coefficient of absolute risk
aversion.

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