CAIA - 15 - Real Estate Indices and Unsmoothing Techniques Flashcards
___ ___exists when real estate transaction prices contain errors, rendering the prices less reliable.
Transaction noise exists when real estate transaction prices contain errors, rendering the prices less reliable.
The two primary approaches to real estate indexation are ___-based and ___-based techniques.
The two primary approaches to real estate indexation are appraisal-based and transaction-based techniques.
Reported asset prices may have a delayed reaction to changes in economic conditions, which results in a ___ ___.
Reported asset prices may have a delayed reaction to changes in economic conditions, which results in a smoothed series.
The unsmoothing process removes the effects of smoothing by reducing the level of ___ in the data.
The unsmoothing process removes the effects of smoothing by reducing the level of autocorrelation in the data.
A smoothed return series has lower ___ ___, lower ___and lower ___.
A smoothed return series has lower standard deviations, lower correlations and lower betas.
In perfect markets with low or no transaction costs, ___ can unsmooth prices.
In perfect markets with low or no transaction costs, arbitrageurs can unsmooth prices.
Two key impediments prevent arbitrageurs from unsmoothing a smoothed return series:
- No real ___ ___
- ___ ___and other ___
Two key impediments prevent arbitrageurs from unsmoothing a smoothed return series:
- No real trading opportunities
- Transaction costs and other barriers
Key consequences for understating volatility of assets with smoothed prices are inflated ___ ___ and ___ to the assets by standard portfolio optimization models.
Key consequences for understating volatility of assets with smoothed prices are inflated Sharpe ratios and overallocation to the assets by standard portfolio optimization models.
Smoothing model equation in terms of beta
Smoothing model equation in terms of alpha (rate of decay)
A ___ α indicates that the current reported price is driven more by the current true price than by true prices in previous time periods.
A larger α indicates that the current reported price is driven more by the current true price than by true prices in previous time periods.
Fisher estimates α to be ___ for private, unleveraged annual real estate returns.
Fisher estimates α to be 0.4 for private, unleveraged annual real estate returns.
What is the true price in terms of first-order autocorrelation. (equation)
There are 4 key reasons for first-order autocorrelation
- A price index is based on ___ ___and ___ ___.
- ___may generate smoothed prices and exhibit ___
- Even efficient markets may signal ___ ___responses
- There is often a ___ ___between setting the price and reporting the transaction.
There are 4 key reasons for first-order autocorrelation
- A price index is based on recent transactions and stale components.
- Appraisers may generate smoothed prices and exhibit anchoring
- Even efficient markets may signal lagged price responses
- There is often a time delay between setting the price and reporting the transaction.
What is the correlation coefficient between 2 variables?
What is the true variance of smoothed returns (equation)
What is the Beta of true returns (equation)
___ ___ ___or ___occurs because real estate market transactions involve negotiations between parties and the final transaction price is one of value from a range of prices that could have resulted from the negotiations.
Purely random error or noise occurs because real estate market transactions involve negotiations between parties and the final transaction price is one of value from a range of prices that could have resulted from the negotiations.
___ ___ ___occurs when transaction prices are related to historical prices because of the structure of the real estate market.
Temporal lag bias occurs when transaction prices are related to historical prices because of the structure of the real estate market.
Noisy pricing can be explained by the fact that the transaction price is selected from a range of ___ ___.
Noisy pricing can be explained by the fact that the transaction price is selected from a range of reservation prices.