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Asset Pricing Simulation (work in progress)

Asset Pricing Simulation (work in progress). William F. Sharpe STANCO 25 Professor of Finance, Emeritus Stanford University www.wsharpe.com. Parts. Asset Pricing Models Kernel Asset Pricing for Dummies Asset Pricing Simulation A Simple Simulation Example Mean Variance Asset Pricing

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Asset Pricing Simulation (work in progress)

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  1. Asset Pricing Simulation (work in progress) William F. Sharpe STANCO 25 Professor of Finance, Emeritus Stanford University www.wsharpe.com

  2. Parts • Asset Pricing Models • Kernel Asset Pricing for Dummies • Asset Pricing Simulation • A Simple Simulation Example • Mean Variance Asset Pricing • Estimating Expected Returns • Non-linear Pricing Kernels • Experimental Pricing Kernels • Extensions

  3. Part 1 Asset Pricing Models

  4. Portfolio Portfolio Asset Pricing and Portfolio Choice Position Position Investor 2 Investor 1 Preferences Preferences Predictions Predictions Market Trades Prices Outcomes

  5. Asset Pricing Models:Mean/Variance Asset Pricing • Taught in MBA courses • The basis for most of the quantitative methods used in the investment management business • The basis for many corporate cost of capital applications

  6. Asset Pricing Models:Kernel Asset Pricing • Taught in PhD courses • Used in fixed income analyses • Used in Financial Engineering

  7. Asset Pricing Models:Arbitrage Pricing • Strictly speaking, can only price assets that are redundant • Value of an asset is based on the cost of obtaining the same outcomes using existing assets • Deals only with relative prices • Used in Financial Engineering

  8. Behavioral Finance • Assumes individuals are not “rational economic agents” • For example, assumes that individuals do not act as if they maximize a smooth utility function • Not widely used in asset pricing at present

  9. Part 2 Kernel Asset Pricing for Dummies

  10. State Prices • Assume • State claims are traded • There is agreement • After equilibrium is established • There will be a set of state prices • Investors will have chosen the amounts to consume in each state • Additional trades will not be possible

  11. Price per Chance (PPC) • A measure of the cost of consumption in a state • PPC = State Price / State Probability • The cost per chance that the outcome will take place • (also known as “m”)

  12. Footnote on Stochastic Discount Factors • Stochastic Discount Factors P = E(mX) P = s ms Xs • Arbitrage in a complete market P = ps Xs P = s (ps / s) Xs ms = ps / s

  13. Assumed Investor Behavior • Other things equal, a person will be willing to pay more for added consumption in a state in which there is less consumption • PPC is inversely related to consumption • “The more you have, the less you will pay for another unit”

  14. An Individual’s Optimal Allocation * PPC * * * PPC’ * * * * * C’ Future Consumption

  15. The Market Allocation • The market consumption in a state is the sum of the individuals’ levels of consumption in that state • If each individual wants more consumption in state A than state B the total desired market consumption in state A will be greater than in state B

  16. The Market Portfolio * PPC * * * * * * * * Future Consumption

  17. Equilibrium • Given production, the amount of market consumption in each state is given • Thus prices must adjust until the individuals’ collective demand for consumption in a state equals that available • This implies • States with the same aggregate consumption will have the same PPC • States with more aggregate consumption will have lower PPCs

  18. Expected Total Returns • A state claim pays $1 • To purchase it one pays its price. Its total return is thus • 1 / price • The probability of receiving its return is given by its probability • This its’ expected total return is Probability of state State price =1 / PPC

  19. Expected Returns and Consumption • If PPC is lower in states in which aggregate consumption is greater, then • Expected total return is higher in states in which aggregate consumption is greater

  20. Equilibrium Expected Returns Expected Return * * * * * * ER’ * * * C’ Future Consumption

  21. Portfolio Choice • For each level of market consumption there is a PPC • Higher levels of market consumption  lower PPCs • For each PPC there is a level of individual consumption • Lower PPCs  higher levels of individual consumption • Consequently: • Higher levels of market consumption  higher levels of individual consumption • Therefore: • Each individual should arrange to have consumption that is (1) related directly to market consumption and (2) related only to market consumption

  22. Individual and Market Consumption Individual’s Consumption * * * * * Ci’ * * * * Total Consumption C’

  23. The Empirical Question:Where is the Pricing Kernel? * PPC * * ? * * * * * * Future Consumption

  24. Part 3 Asset Pricing Simulation

  25. Asset Pricing Simulation • Can incorporate elements of • Mean/variance asset pricing • Kernel Asset Pricing • Arbitrage Pricing • Behavioral Finance

  26. Discrete Time approaches • At each point in time there will be one and only one state of the world • One-period models • Two dates • Now • Later • Multi-period models • More than two dates

  27. One-period models • Consumption • Now • Later • Investment • Sacrifice consumption now for consumption later • (Total) Return = consumption later / consumption now

  28. Securities • “Standard securities” • Pay off in many states of the world • Time-state claims • Each one pays off in only one state of the world

  29. Markets • Complete market • A time-state claim for every state of the world • Incomplete market • Some desired time-state claims are not available (directly or indirectly) • Sufficiently complete market • There is no demand for any unavailable time-state claim

  30. Predictions • Agreement • Everyone agrees on the probabilities of the states • Disagreement • People have different probability assessments

  31. Equilibrium • A situation in which no one wishes to do anything more • No more trades of existing securities • No introduction of new securities • No changes in anyone’s predictions

  32. Completely costless equilibria • Assume securities can be introduced and traded without cost • Assume that information can be disseminated without cost • When equilibrium is reached: • Markets will be sufficiently complete • There will be agreement about probabilities

  33. More realistic equilibria • Investors disagree about the future • Different probability assessments • Markets are incomplete • It is not possible to trade state claims for every state

  34. The Four Cases Reality Theory

  35. APSim: an Asset Pricing Simulator • Can analyze economies with or without • Agreement • Complete markets • Can find • Implications for the determination of asset prices • Implications for optimal portfolio choices • Can illuminate questions such as • Are market-based strategies efficient? • Is there a market risk premium? • Are security and portfolio expected returns related to beta values?

  36. Key Inputs • Securities • People • Preferences • Predictions • Portfolios

  37. People • Objects (“black boxes”) • Properties of a person that do not change • Name • Preferences • Predictions • Properties of a person that change • Portfolio • Consumption • Determined by portfolio and security payoffs

  38. Questions that people can answer • Security bid price • Maximum amount bid to get n units of security S • Security ask price • Minimum amount asked to give up n units of security S • Consumption bid price • Maximum amount bid to get n units of consumption in state s • Consumption ask price • Minimum amount asked to give up n units of consumption in state s • Certainty equivalent • Amount for certain in each period equivalent to current consumption

  39. Part 4 A Simple Simulation Example

  40. Example 1 • One period, two dates • 5 states of the world • 1 now • 4 later • 2 people • 4 securities • Consumption now • Riskless • Security A • Security B

  41. Example 1: Securities

  42. Example 1: Initial Portfolios

  43. Example 1: Initial Consumption

  44. Example 1: Predictions

  45. Example 1: Preferences

  46. Trading • A Lot size is set • number of shares per trade • Each person submits • a sealed bid to purchase one lot of the security • a sealed bid to sell one lot of the security • The market maker then finds the maximum number of lots that can be traded • All trades are executed at a price halfway between the lowest bid and the highest ask prices for those who trade

  47. Credit Checks • No one is allowed to submit a bid or ask if execution at that price would result in negative consumption in one or more states • Subject to this constraint, people can • Buy any existing security • Sell any security currently held • Sell any security not currently held • (sell short)

  48. Assumed Trading Behavior • Investors submit their maximum bid and minimum ask prices • Doing otherwise can • Get the same result, or • Lose a beneficial trade, or • Or get a better price, but only if the investor would be the marginal trader in both cases • Thus the assumed behavior is generally in the investor’s best interests in this type of market

  49. Initial Bids and Asks with 12 People

  50. A Round of Trading • Trade security 1 • Trade security 2 • ……… • Trade security N

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