Buyers' and sellers' agents in the housing market

We explain why buyers in the housing market use an agent employed by the seller. Such agents reduce buyers' search costs so that more buyers search a particular house. This increases the probability of the sale of the house and possibly also its selling price. However, since the selling price increases, if at all, by less than the fee paid by the seller to the agent, both buyers and sellers are better off. We identify two characteristics that give rise to sellers' agents and show that markets that do not have such agents are missing at least one of these characteristics.     

A rational expectations equilibrium model of urban growth and land markets

This paper presents a simple model of urban spatial growth under uncertainty with an infinite time horizon. The rational expectations equilibrium path (REE path) of the urban land market is obtained in explicit form as a function of exogenously given stochastic processes of future population, transport and household income in the city. Spatial and temporal characteristics of asset prices along the REE path are examined in detail.     

Price spreads and residential housing market liquidity

Most studies of housing market liquidity have measured liquidity in terms of time on the market (TOM), and have sought to explain TOM in terms of property characteristics and measures of market conditions. This paper departs from past studies of housing market liquidity by examining the spread between the listing and contract prices.We develop theory to explain the price spreads in the residential housing market. The model includes the list price of the home, the cost of the search, the standard deviation of offer prices, and TOM. Empirical tests using 3,597 sales for 25 months show a robust relationship of housing market spreads and these variables. Listing price and cost of search have the predicted positive coefficients, and the standard deviation of price offers is found to be negatively related to the price spread.     

A volatility model based on adaptive expectations: An improvement on the rational expectations model

Investment expectations affect stock price volatility, making asset pricing more difficult. Correctly capturing investment expectations can help alleviate this problem. In this paper, we analyze the rational expectations properties of existing volatility models. Second, we explore a volatility model based on adaptive expectations by using mathematical methods and the applicable conditions and continuity feature of the adaptive expectations volatility model. Third, under the assumption of adaptive expectations, we construct adaptive expectations GARCH (ADGARCH) and LSTM-ADGARCH models. Using daily trading data from the Shanghai stock index and SPX500 for the period 2015–2021, we find that the volatility model based on adaptive expectations has more explanatory power than one based on rational expectations.     

Macroeconomic dynamics in a model of goods,labor, and credit market frictions

Goods market frictions drastically change the dynamics of the labor market, both in terms of persistence and volatility. In a model with three imperfect markets – goods, labor, and credit – we find that credit and goods market imperfections are substitutable in raising volatility. Goods market frictions are unique in generating persistence. Two key mechanisms in the goods market generate large hump-shaped responses to productivity shocks: countercyclical goods market tightness and prices alter future profit flows and raise persistence; procyclical search effort of consumers and firms raises amplification. Goods market frictions are thus key in understanding labor market dynamics.     

Bond market development and bank stability: Evidence from emerging markets

We investigate how bond market development shapes banks’ risk taking in terms of portfolio structure, liquidity risk, and overall bank risk. Exploiting a bank-level database of 26 emerging markets, we find that larger bond markets are associated with stronger bank liquidity positions, lower portfolio risk of banks, and higher overall stability of banks. The effect of bond market development on bank risk taking remains robust across different levels of bank size and capital sufficiency. Overall, we find new evidence of a complementary relationship between bond market development and bank soundness.     

A rational expectations equilibrium model of inventories of finished goods and employment

A critical roadblock to modeling inventories of finished goods has been the claim that the production and inventory decisions of a perfectly competitive firm are determined independently of each other. A basic goal of this study is to specify fundamental preferences of economic agents, technologies, constraints and market structures that are, in a rough way, capable of generating patterns of serial correlations and cross correlations between inventories and employment of factors of production that are consistent with those observed in the data. The claim is made that the time series for inventories, output and employment can, in principle, be interpreted as emerging from a well-specified dynamic, stochastic competitive equilibrium in which economic agents are assumed to form rational expectations about variables not included in their information sets. Inventories and employment will not be related in a direct way if and only if the price elasticity of demand for output is equal to infinity.     

Expectation-driven cycles in the housing market: Evidence from survey data

Using a vector-autoregression (VAR) model and data from the University of Michigan Survey of Consumers, we provide evidence on the importance of news and consumers’ beliefs for housing-market dynamics and aggregate fluctuations. We document that innovations to News on Business Conditions generate hump-shaped responses in house prices and other macroeconomic variables. We also show that innovations to Expectations of Rising House Prices are particularly important in explaining the path of macroeconomic variables during housing booms. To disentangle the effects of News on Business Conditions from other sources of expectation-driven cycles, we estimate a VAR where the News variable is ordered first. Innovations to News on Business Conditions generate Expectations of Rising House Prices. However, during housing booms, innovations to Expectations of Rising House Prices unrelated to News on Business Conditions account for a large part of macroeconomic fluctuations. Shocks to News and Expectations account together for more than half of the forecast error variance of house prices, and other macroeconomic variables, during periods of booms in house prices.     

Predicting the long-term stock market volatility: A GARCH-MIDAS model with variable selection

We consider a GARCH-MIDAS model with short-term and long-term volatility components, in which the long-term volatility component depends on many macroeconomic and financial variables. We select the variables that exhibit the strongest effects on the long-term stock market volatility via maximizing the penalized log-likelihood function with an Adaptive-Lasso penalty. The GARCH-MIDAS model with variable selection enables us to incorporate many variables in a single model without estimating a large number of parameters. In the empirical analysis, three variables (namely, housing starts, default spread and realized volatility) are selected from a large set of macroeconomic and financial variables. The recursive out-of-sample forecasting evaluation shows that variable selection significantly improves the predictive ability of the GARCH-MIDAS model for the long-term stock market volatility.     

Estimation of a rational expectations model of the term structure

This paper shows how to represent a vector autoregression (VAR) in terms of the eigenvalues and eigenvectors of its companion matrix. This representation is used to impose the exact restrictions implied by the expectations hypothesis on the VAR for short and long term interest rates and to calculate the restricted maximum likelihood estimates. The first difference representation for short and long rates used by Sargent (1979) is shown to be inconsistent with the expectations hypothesis, but a VAR with two unit roots is constructed that satisfies the exact restrictions and leads to similar restricted estimates.     

Dual foreign currency markets and the role of expectations: Evidence from the Pacific Basin countries

This paper analyzes the role of expectations about the government policy in the official foreign currency market in determining the black market premium. We use data for the recent float from six emerging markets of the Pacific Basin where active black markets for foreign currency exist, namely, Indonesia, Korea, Malaysia, the Philippines, Singapore and Thailand. To test the impact of anticipated and unanticipated shocks to the official exchange rate on the black market premium, we employ the two-step procedure of Hoffman et al. [Hoffman, D.L., Low, S.A., Schlagenhauf, D.E., 1984. Tests of rationality, neutrality and market efficiency: a Monte Carlo analysis of alternative test statistics. J. Monet. Econ. 14, 339–363] which provides corrected F-statistics and allows us to draw valid inference in the presence of generated regressors. The main finding of our analysis is that anticipated and unanticipated shocks to the official exchange rate have an impact on the black market premium in all six Pacific Basin countries. These results suggest that portfolio balance models provide the suitable theoretical framework for analyzing the behaviour of the black market premium in the markets for foreign currency in the Pacific Basin countries. Furthermore, this implies that economic agents in these countries are sensitive to expected returns in foreign exchange.     

金融市场对货币调控的反应与影响研究

2007年,随着经济金融形势的不断变化,我国货币政策紧缩程度不断加强。文章回顾了我国货币调控对货币、债券、外汇、股票这四个金融市场的影响,运用统计模型和一些量化工具描述了货币调控对各市场的影响程度;从资产负债运营和流动性管理等角度反映了本轮货币调控给各类金融机构带来的影响差别,并提出相关政策建议。     

Tick size and market quality: Simulations based on agent‐based artificial stock markets

This paper investigates the way that minimum tick size affects market quality based on an agent‐based artificial stock market. Our results indicate that stepwise and combination systems can promote market quality in certain aspects, compared with a uniform system. A minimal combination system performed the best to improve market quality. This is the first study to analyse tick size systems that remain at the theory stage and compare four types of system under the same experimental environment. The results suggests that a minimal combination system could be considered a new direction for market policy reform to improve market quality.     

Explaining the accrual anomaly by market expectations of future returns and earnings

This study examines the accrual anomaly under the framework of the Campbell [Campbell, J.Y. (1991). A variance decomposition for stock returns. Economic Journal 101 (405), 157-179.] model. The Campbell (1991) model shows that realized asset returns are a joint function of 1) expected returns, 2) revisions in market expected future returns (i.e., return news), and 3) revisions in market expected future cash flows (i.e., cash flow news). The current study adopts the Easton [Easton, P. (2004). PE ratios, PEG ratios, and estimating the implied expected rate of return on equity capital. The Accounting Review 79 (1), 73-96.] model to estimate proxies for expected returns, return news, and cash flow news. The results show that firms with low accruals have lower expected returns than firms with high accruals, which is contradictory to prior research that argues that firms with low accruals are more risky. However, investors underestimate (overestimate) future earnings growth, a proxy for cash flow growth, for low (high) accrual firms. Further analysis demonstrates that earnings news (proxy for cash flow news) plays a major role in explaining abnormal returns associated with the accrual anomaly.     

Modifying a simple agent-based model to disentangle the microstructure of Chinese and US stock markets

We modify a simple agent-based model (ABM) proposed by Franke and Westerhoff [J. Econ. Dyn. Control, 2012, 36(8), 1193–1211] through considering the price limits and the motion of the fundamental value. The method of simulated moments is applied to calibrate both initial and modified ABMs with CSI 300 and S&P 500 respectively, and the goodness-of-fit of each ABMs is tested. The calibration results indicate that the modified model performs better than initial one. Then, we utilize the GSL-div, proposed by Lamperti [Econometrics Stat, 2018, 5, 83–106.], to verify the explanatory power of ABMs. In this procedure, 13 ARCH family models are introduced as benchmarks. The result shows that the explanatory power of modified ABM exceeds ARCH models in both markets, while initial ABM may be defeated by some of the ARCH family models in explaining the microstructure of CSI 300. Finally, a heuristic algorithm is designed to disentangle the insights of Chinese and US stock markets to the observed time horizon through calibrating the initial fundamental value, and Kupiec test is used to check the robustness of the calibration. The result indicates that the explanation of modified model is robust in both markets, while initial model lost its robustness when explaining S&P 500.