Do prices reflect market fundamentals in real estate markets?

The purpose of this article is to examine prices on land and REIT shares for possible evidence of deviations from market fundamentals, the underlying economic forces. Models of market fundamentals are developed from the intertemporal capital asset pricing model so that risk aversion and a stochastic investment opportunity set can be incorporated in the analysis. The approach in this article is to compare ex post values of actual discounted cash flows with prices and to test whether the price series are unbiased predictors of the future discounted cash flows. Several tests of the relationship are presented, and the results suggest that prices of real estate investment trusts and prices of farm land do not always reflect fundamental value.     

Modeling and measuring intraday overreaction of stock prices

We introduce a model for stock prices consisting of a fundamental price process and a news impact curve, which allows for either overreaction, underreaction, or correct response to changes of the fundamental value. We further develop statistics based on OHLC data, which separately measure upside and downside overreaction. The distribution of these statistics under the hypothesis of correct response and fundamental prices following Brownian motions is used to derive tests for upside and downside overreaction. We show that more realistic and frequently used fundamental price processes with correct response leave the distribution of the test statistics widely unaffected or lead to conservative tests. Empirical application to different stock markets provides strong evidence for intraday overreaction, particularly to bad news. The economic significance of the discrimination induced by the proposed statistics is further illustrated by analyzing the performance of a simple buy on bad news strategy.     

House Prices, Fundamentals and Bubbles

Abstract:  This paper studies actual (real) house prices relative to fundamental (real) house values. Such a focus is warranted since housing constitutes a large fraction of most household portfolios, and its characteristics are such that, in contrast to what prevails in financial markets, arbitrage will be limited and hence correction toward 'true' value is likely to be a prolonged process. Using UK data and a time-varying present value approach, our results preclude the existence of an explosive rational bubble due to non-fundamental factors. We further find that intrinsic bubbles have an important role to play in determining actual house prices although price dynamics appear to impact, particularly in periods of strong deviation from fundamental value. Price dynamics are found to be driven by momentum behaviour.     

Fair Value: Your Value or Mine? An Observation on the Ambiguity of the Fair Value Notion Illustrated by the Credit Crunch

Current International Financial Reporting Standards (IFRSs) define fair value as a transaction price. In imperfect markets, buyer's and seller's marginal prices, at which they are rationally willing to transact, differ. The transaction price can be any amount within the range between those prices. However, scenarios are conceivable in which no such range exists because the seller's marginal price exceeds the buyer's. In this scenario, no arm's length transactions between knowledgeable, willing parties are possible. Such a scenario can be likely characterised by low liquidity and/or high information asymmetry and seems to be broadly consistent with what is recently referred to as the ‘credit crunch’. Under this scenario, the IFRS definition of fair value is not readily applicable. Two views are possible: under view 1, fair value refers to the potential buyer's marginal price. Although fair value does always exist conceptually, it negates the notion of two rationally acting parties. View 2 acknowledges that no arm's length transaction is possible, resulting in the fair value notion not being applicable. If these two views are applied to the IFRS definition of an active market, view 1 results in markets that are always active. Only view 2 allows distinguishing between active and inactive markets.     

Commodity Prices and Stock Market Behavior in South American Countries in the Short Run

Using Geweke feedback measures, we present empirical evidence that largely supports the hypothesis that the stock markets of South American countries are highly affected by changes in commodity prices after controlling for changes in exchange rates, interest rates, and North American stock market changes. In total, six different Goldman Sachs commodity price indexes are tested against the unexplained variation in stock market returns for Argentina, Brazil, Chile, Colombia, Peru, and Venezuela, covering the period 1995-2007. The Argentinian, Brazilian, and Peruvian stock markets are significantly affected by changes in commodity prices the same day. Venezuela's stock market, however, does not react to changes in commodity prices, even including energy prices. Stock market returns for Chile show a contemporaneous relation with energy and metals prices, whereas Colombia's equity market is affected by price changes for agricultural and industrial metals. In all cases, we find a contemporaneous relation and no indication of a lead or lag relationship.     

Bubbles in food commodity markets: Four decades of evidence

We use daily prices from individual futures contracts to test whether speculative bubbles exist in 12 agricultural markets and to identify whether patterns of bubble behavior exist over time. The samples begin as far back as 1970 and run through 2011. The findings demonstrate that all 12 agricultural markets experienced multiple periods of price explosiveness. However, bubble episodes represent a very small portion—between 1.5 and 2%—of price behavior during the 42-year period. In addition, most bubbles are short-lived with 80–90% lasting fewer than 10 days. Though receiving far less attention, negative bubbles contribute significantly to price behavior, accounting for more than one-third of explosive episodes. Markets over-react during both positive and negative explosive episodes, leading to a correction as they return to a random walk. This adjustment back to fundamental values is most pronounced with positive bubbles particularly in the earlier part of the sample. While the magnitudes of the corrections are generally small, there were a few instances of significant increases in prices and large over-reactions, most notably in the softs (e.g., cocoa 1973, coffee 1994, cotton 2010). We also find that explosive periods did not become more common or last longer in the second half of the sample period and that the most recent bubble episodes may not have been as severe as in mid-1970s.     

Renegade Asset Markets

Local markets with tight land use controls result in prices rising relative to wages and affordability. Affordability is eased by unconventional but risky finance. Tight land use and loose financing in these renegade markets concentrates the impact of national or international shocks. A positive demand shock raises prices in these tight markets. If ongoing price momentum is expected, households switch to ownership and landlords reduce the rental stock. House prices, rents and occupancy rise and fall together in these markets. A five-equation sequential structure in land use, financial contracts, house prices, rents and vacancy for 17 United States cities confirms geographical concentration. Coastal California and South Florida are fundamentally risky markets. Discount rates there are three percentage points higher than the sample median. Two percentage points are attributable to land use and the other to unconventional finance. National and international financial crises are highly concentrated regionally.     

The value of risk in real estate markets

In this article we test the urban asset pricing model of Capozza and Sick (1988) and focus on the empirical dimensions of the effects of risk on urban land prices. The effects of systematic and unsystematic risk are distinguished in the model which incorporates the value of the option to convert land to urban uses into the pricing of urban real estate. We find the value of systematic risk in our Canadian urban areas to be negative and highly statistically significant. We find that approximately 2.5 percent of the value of houses in our sample arises from systematic risk. In our sample, unsystematic risk is a larger proportion of total risk than systematic risk. Therefore, most of the effect of total risk may be ascribed to unsystematic risk. The effect of total risk on land prices is illustrated through the irreversibility premia estimates. These premia vary greatly in size and statistical significance. Thus, the effect of unsystematic risk is highly city specific. In the two regions where the irreversibility premia are statistically significant, it accounts for 22 percent and 53 percent of the average housing price; thus, unsystematic risk can be a very important determinant of housing prices.These results highlight the importance of risk in determining urban land prices. The value of the option to convert land to urban uses imparts considerable value to developed land and must be considered when evaluating interurban area price differences.     

Real estate prices and bank stability

Real estate prices can deviate from their fundamental value due to rigid supply, heterogeneity in quality, and various market imperfections, which have two contrasting effects on bank stability. Higher prices increase the value of collateral and net wealth of borrowers and thus reduce the likelihood of credit defaults. In contrast, persistent deviations from fundamentals may foster the adverse selection of increasingly risky creditors by banks seeking to expand their loan portfolios, which increases bank distress probabilities. We test these hypotheses using unique data on real estate markets and banks in Germany. House price deviations contribute to bank instability, but nominal house price developments do not. This finding corroborates the importance of deviations from the fundamental value of real estate, rather than just price levels or changes alone, when assessing bank stability.     

Tracking Distortions in Agriculture: China and Its Accession to the World Trade Organization

This article examines the impacts of China's accession to theWorld Trade Organization (WTO) on prices in its agriculturalsector. The analysis uses a new methodology to estimate nominalprotection rates in China's agricultural sector before its accessionto the WTO. These new measures account for differences in commodityquality within China and between China and world markets. Theanalysis shows that some of China's agricultural commoditiesare well above world market prices and others are well below.The article also assesses market integration and efficiencyin China. It finds high degrees of integration between coastaland inland markets and between regional and village markets.The remarkable improvements in market performance in recentyears mean that if increased imports or exports affect China'sdomestic price near the border, producers throughout most ofChina will feel the price shifts.     

Implications of domestic price insulation for global food price behavior

Rapid changes in global food prices in recent years are widely viewed as a serious threat to global development. While various sources of price instability in agriculture have been identified, little attention appears to have been given to the importance of changes in trade policies that insulate domestic prices from world markets as a source of volatility in world prices. A contribution of this paper is to show that these interventions are dynamically more complex than simple proportional insulation. Insulation against an initial price increase in world prices increases the magnitude of that increase, while subsequent adjustments to the level of protection change the fundamental nature of price volatility. We find such policies are widespread and increase the volatility of world prices while not reducing the volatility of domestic prices because of the collective action problem involved in this form of policy intervention.     

中国利率市场的价格发现——对国债现货、期货以及利率互换市场的研究

本文采用信息份额模型和基于向量自回归(VAR)模型的格兰杰因果检验,研究了国债现货、国债期货和利率互换三个市场之间的价格发现机制。信息份额模型表明,从整体来看利率互换相对于国债期货和国债现货都具有信息优势,而国债期货相对于国债现货具有信息优势。另外,国债期货的价格发现能力相对于另外两个市场都在随时间增强。格兰杰因果检验结果显示,利率互换在价格发现中单向引领国债期货以及国债现货,国债期货单向引领国债现货。所有结果一致表明, 利率互换和国债期货这两种利率衍生产品在引导中国利率市场价格发现中发挥了重要作用。     

Do Unexpected Land Auction Outcomes Bring New Information to the Real Estate Market?

Land and real estate are intrinsically related but generally traded in two different markets. Vacant land, being a major “raw material” for development of real estate, is traded by developers who actively manage development risk for profit. Real estate, being a long lived final product, is traded by end-users or investors for use or investment in the secondary market. This study examines price discovery between the two markets. The key question is whether land transactions, in the form of public auctions, convey any new information to the secondary real estate market. Our results suggest unexpected land auction outcomes have both market-wide and local effects on real estate prices. However, the impacts are asymmetric. We found that lower than expected land auction prices have a significant negative market-wide and local impact on real estate prices while higher than expect land auction prices have little or no impact.     

A new dividend forecasting procedure that rejects bubbles in asset prices: the case of 1929's stock crash

We develop a new procedure to forecast future cash flows froma financial asset and then use the present value of our cashflow forecasts to calculate the asset's fundamental price. Asan example, we construct a nonlinear ARMA-ARCH-Artificial NeuralNetwork model to obtain out-of-sample dividend forecasts for1920 and beyond, using only in-sample dividend data. The presentvalue of our forecasted dividends yield fundamental prices thatreproduce the magnitude, timing, and time-series behavior ofthe boom and crash in 1929 stock prices. We therefore rejectthe popular claim that the 1920s stock market contained a bubble.     

Short-selling constraints as cause for price distortions: An experimental study

In this paper we explore the influence of the possibility to short stocks and/or borrow money in laboratory markets. A key innovation of our study is that subjects can simultaneously trade two risky assets on two double-auction markets, allowing us to differentiate between assets with relatively high versus low capitalization. Divergence of opinions is created by providing each trader with noisy information on the intrinsic values of both assets. We find that when borrowing money or shorting stocks is restricted prices are systematically distorted. Specifically, stocks with high (low) capitalization are traded at lower (higher) prices than their fundamental value. Lifting the restrictions leads to more efficient prices and more liquidity, thereby also lowering volatility and bid-ask spreads.     

Earnings Metrics,Information Processing,and Price Efficiency in Laboratory Markets

An enduring issue in financial reporting is whether and how salient summary measures of firm performance (“earnings metrics”) affect market price efficiency. In laboratory markets, we test the effects of salient earnings metrics, which vary in how they combine persistent and transitory elements, on investor information search, beliefs about value, offers to trade, and market price efficiency. We find that including transitory elements in salient earnings metrics causes traders to search unnecessarily for further information about these elements and to overestimate their effect on fundamental value relative to a rational benchmark. In contrast, separately displaying persistent elements in earnings increases the accuracy of traders’ value estimates. Prices generally reflect traders’ beliefs about value, and prices are most efficient when transitory elements are excluded from earnings metrics entirely. Our study contributes to research on salience effects in financial reporting by showing that including transitory elements in salient earnings metrics causes inefficient information search and biased beliefs about value that can aggregate to affect market prices. We also contribute to research in experimental markets by showing that redundant disclosure is not always beneficial; redundant disclosure of transitory earnings elements, in particular, appears to have negative consequences for investor behavior and market efficiency.     

Circuit Breakers with Uncertainty about the Presence of Informed Agents: I Know What You Know … I Think

This study conducts experimental asset markets to examine the effects of circuit breaker rules on market behavior when agents are uncertain about the presence of private information. Our results unequivocally indicate that circuit breakers fail to temper unwarranted price movements in periods without private information. Agents appear to mistakenly infer that others possess private information, causing price to move away from fundamental value. Allocative efficiencies in our markets are high across all regimes. Circuit breakers perform no useful function in our experimental asset markets.     

Price dispersion in OTC markets: A new measure of liquidity

In this paper, we model price dispersion effects in over-the-counter (OTC) markets to show that, in the presence of inventory risk for dealers and search costs for investors, traded prices may deviate from the expected market valuation of an asset. We interpret this deviation as a liquidity effect and develop a new liquidity measure quantifying the price dispersion in the context of the US corporate bond market. This market offers a unique opportunity to study liquidity effects since, from October 2004 onwards, all OTC transactions in this market have to be reported to a common database known as the Trade Reporting and Compliance Engine (TRACE). Furthermore, market-wide average price quotes are available from Markit Group Limited, a financial information provider. Thus, it is possible, for the first time, to directly observe deviations between transaction prices and the expected market valuation of securities. We quantify and analyze our new liquidity measure for this market and find significant price dispersion effects that cannot be simply captured by bid-ask spreads. We show that our new measure is indeed related to liquidity by regressing it on commonly-used liquidity proxies and find a strong relation between our proposed liquidity measure and bond characteristics, as well as trading activity variables. Furthermore, we evaluate the reliability of end-of-day marks that traders use to value their positions. Our evidence suggests that the price deviations from expected market valuations are significantly larger and more volatile than previously assumed. Overall, the results presented here improve our understanding of the drivers of liquidity and are important for many applications in OTC markets, in general.     

Commodity markets through the business cycle

From 2008 to 2011, commodity markets experienced growing attention from the banking industry for various reasons: the summer 2008 oil price swing, the price surge in an ounce of gold, or sharp variations in agricultural prices. As a consequence, can we hypothesize the existence of a global connection between commodities and economic cycles? If these recent events suggest that commodity markets are strongly related to the business cycle, this evidence goes nevertheless against the widespread intuition that commodity markets are a strong source of diversification in a standard cash–bond–equity portfolio. Based on a data-set from 1990 to present, this paper investigates this issue by (i) looking at the reaction of commodity markets to economic news, and (ii) using a Markov regime-switching model to analyse economic regimes and commodity markets as an asset class.     

Keynesian Beauty Contest, Accounting Disclosure, and Market Efficiency

This paper examines the market efficiency consequences of accounting disclosure in the context of stock markets as a Keynesian beauty contest, an influential metaphor originally proposed by Keynes [1936] and recently formalized by Allen, Morris, and Shin [2006]. In such markets, public information plays an additional commonality role, biasing stock prices away from the consensus fundamental value toward public information. Despite this bias, I demonstrate that provisions of public information always drive stock prices closer to the fundamental value. Hence, as a main source of public information, accounting disclosure enhances market efficiency, and transparency should not be compromised on grounds of the Keynesian-beauty-contest effect.