Disentangling the Short and Long-Run Effects of Occupied Stock in the Rental Adjustment Process

In the current stand of literature on the rental adjustment process starting with Hendershott et al. (Real Estate Economics, 30, 165-183, 2002a, Journal of Real Estate Finance and Economics, 24, 59-87, 2002b) it has become practice to treat the compound variable “occupied stock” as a supply variable. In this study we show that this variable deserves a more critical investigation and that the general view of a supply variable may be misleading. Using panel data covering 30 urban areas for 17 years, we investigate the rental adjustment process in the German office market. The application of recently developed cointegration techniques for non-stationary panel data in conjunction with the corresponding error correction model (ECM) enables us to overcome the data limitations, particularly existent for most European real estate markets. Hence, our primary motivation is (a) to demonstrate how “occupied stock” should be interpreted correctly and (b) to provide useful insights into the long-term relationships and short-run dynamics of real office prime rents. The empirical evidence suggests that a one percent rise in office employment increases real rents on average by 1.64% through higher demand for office space. On the other hand, a one percent increase in the supply of office space decreases real rents in the long run by 2.25%. The results from the error correction model show that deviations from the long-run equilibrium lead to an adjustment process which restores equilibrium within approximately 3 years.     

Commercial Property Rent Dynamics in U.S. Metropolitan Areas: An Examination of Office, Industrial, Flex and Retail Space

This paper is concerned with the market rental rate for space offered by commercial property and how that rental rate evolves over time. Rental rates reflect the value of the services provided by the property and can have a significant impact on the ability of its owners to make monthly debt obligations. We investigate commercial property rent dynamics for 34 large metropolitan areas in the U.S. The dynamics are studied from the second quarter of 1990 through the second quarter of 2009 and the results are compared across four property types or uses (office, industrial, flex, and retail). There is substantial heterogeneity in both the long and short run responses to changing demand and supply conditions. In general, the office market is the slowest to adjust back towards equilibrium while industrial and flex markets adjust back to the long run equilibrium very quickly. For industrial and office types, the speed of adjustment is substantially faster within quality segments and is strongest for grade A properties.     

The Cyclic Behavior of the Greater London Office Market

This paper applies structural econometric methodology to estimating and forecasting the greater London office market. We assemble a time series covering the 1970–1995 period and estimate equations for net space absorption, movements in rents, and new building orders. Together with two identities, calculating the stock and vacancy, these form a complete model. We estimate a generally inelastic supply and demand relationship that yields a dynamically stable system. Without unanticipated economic shocks, the market is noncyclic. Therefore the building boom of the 1980s largely is delayed response to the huge growth in service jobs that occurred over that period.     

Asymmetric Impact of Oil Price Shock on Stock Market in China: A Combination Analysis Based on SVAR Model and NARDL Model

This article integrates the SVAR model and nonlinear ARDL (NARDL) model to analyze the long-run and short-run asymmetric effect of structural oil price shocks on the Chinese stock market. We reveal that the demand-side shocks of oil price have a significant impact on the Chinese stock market in both short and long run, but the supply shock is an exception. In terms of asymmetric nature, there is no evidence of asymmetric impact when it refers to the supply shock and the oil-specific demand shock on stock market, and only the aggregate demand shock has asymmetric effect in short run.     

Oil price shocks and the US stock market: A nonlinear approach

We study the response of US stock market returns to oil price shocks and to what extent it behaves asymmetrically over the different phases of the business cycle. For this purpose, we decompose the oil price changes into supply and demand shocks in the oil market and assess the state-dependent dynamics of structural shocks on US stock returns using a smooth transition vector autoregression model. When nonlinearity is considered, quantitatively very different asymmetric dynamics are observed. Our findings show that the responses of US stock returns to disaggregated shocks are asymmetric over the business cycle and that the impact of demand-driven shocks on US stock returns is stronger and more persistent, especially when economic activity is depressed. Furthermore, the contribution of shocks to expectation-driven precautionary demand in recessions accounts for a larger share of the variability of US stock market returns than that predicted by standard linear vector autoregressions.     

Downward wage rigidity and business cycle asymmetries

The growth rates of wages, unemployment and output of a number of OECD countries have a strongly skewed distribution. In this paper we analyze to what extent downward wage rigidities can explain these empirical business cycle asymmetries. To this aim, we introduce asymmetric wage adjustment costs in a New-Keynesian DSGE model with search and matching frictions in the labor market. Increasing wages is less costly than cutting them. It follows that wages increase relatively fast and thus limit vacancy posting and employment creation, but they decline more slowly, leading to a strong reduction in vacancies and employment. The presence of downward wage rigidities strongly improves the fit of the model to the observed skewness of labor market variables and the relative length of expansions and contractions in the output and the employment cycles. The asymmetry also explains the differing transmission of positive and negative monetary policy shocks from wages to inflation.     

Local Office Rent Dynamics

This study applies rent adjustment models for ten major European office markets. We capture long-run equilibrium relationships of demand and supply variables and their short-term corrections in a two equation error correction model. We test whether the local nature of office markets makes a model based on national economics inaccurate if local and national markets do not move in tandem. For this we employ a unique dataset, which includes both disaggregated and national variables to model changes in real prime rents for a group of premier and second tier office market cities across Europe for the period 1990–2006. We explicitly compare results that are derived from models that include different levels of geographic aggregation. Results of the two stage error correction model indicate that international office rents adjust to short-run changes in office related economic activity, lagged rent changes, and to the deviation of rents from their long-run values. At the same time our results offer no proof that error correction mechanism models for office rents improve significantly by specifying economic growth figures beyond the national aggregated level for the cities included in our analysis.     

中国一线城市房租形成机理和调控对策

房租是由房屋租赁市场的需求和供给两个方面决定的,而房屋租赁市场的需求和供给都受到房屋交易市场所形成的房价的影响。房价对房屋租赁市场需求的影响主要是由于房屋租赁市场和房屋交易市场的替代效应所导致,房价对房屋租赁市场供给的影响主要由房屋租售比和房价的上涨幅度决定。我国一线城市房价近十年的平均年上涨率为10%左右,这导致了我国一线城市的房屋租售比维持在极低的水平。随着房价的平稳,房租必然大幅上涨,故必须采取措施增加一线城市房屋租赁市场的供给,以供给量的大幅增加稳定房租。     

Asymmetric Properties of Office Rent Adjustment

In this paper we use an error correction model for understanding the changes in real office rents for a panel of 15 U.S. MSA’s over the period 1990-2007. We find that office rents in all cities react positively to a rise in office employment and lagged rent changes, while lagged deviations from equilibrium rent levels exhibit a slow and partial adjustment over time. Given the non-negativity constraint of vacancy rates we extend the basic model by examining whether rents react to positive changes in employment conditional on the vacancy rate level. Our results show that office rents react significantly stronger to increases in employment when vacancy rates are below the long-term average. We also repeat the analysis for clusters of cities based on similarities in rent and employment dynamics using multi dimensional scaling. The cluster results confirm the overall conclusions and show that our results are not solely valid for the full panel of cities.     

Non-stationary Hours in a DSGE Model

The time series fit of dynamic stochastic general equilibrium (DSGE) models often suffers from restrictions on the long-run dynamics that are at odds with the data. Using Bayesian methods we estimate a stochastic growth model in which hours worked are stationary and a modified version with permanent labor supply shocks. If firms can freely adjust labor inputs, the data support the latter specification. Once we introduce frictions in terms of labor adjustment costs, the overall time series fit improves and the model specification in which labor supply shocks and hours worked are stationary is preferred.     

人民币外汇市场间不对称汇率变动的实证研究

现有关于人民币汇率各市场间关系的研究一般是基于多元GARCH模型,探讨各市场间的线性相关关系,未能考虑各市场间汇率变动可能存在的"不对称效应":面临正(反)向的较大冲击时,各市场汇率变动表现出同步性;而面临反(正)向的较大冲击时,各市场汇率变动不同步。本文运用SJC-Copula-MGARCH模型对人民币汇率境内SPOT市场、境内DF市场和境外NDF市场之间的相依关系进行实证分析,发现境内汇率市场(SPOT市场和DF市场)和境外NDF市场间的联系仍较弱;SPOT-DF市场在面临大的正冲击和负冲击时均表现出较强的联动性,而SPOT-NDF市场和DF-NDF市场在面临大的冲击时汇率变动表现出"不对称效应":在面临大的正冲击(人民币相对贬值)时,境内汇率市场和境外NDF市场汇率变动不同步,当面临大的负冲击(人民币相对升值)时,境内汇率市场和境外NDF市场汇率变动表现出较强的同步性。本文进一步分析了上述"不对称效应"的经济机理,探讨了其经济学含义。     

Price dynamics in refined petroleum spot and futures markets

This article characterizes the spot and futures price dynamics of two important physical commodities, gasoline and heating oil. Using a non-linear error correction model with time-varying volatility, we demonstrate many new results. Specifically, the convergence of spot and futures prices is asymmetric, non-linear, and volatility inducing. Moreover, spreads between spot and futures prices explain virtually all spot return volatility innovations for these two commodities, and spot returns are more volatile when spot prices exceed futures prices than when the reverse is true. Furthermore, there are volatility spillovers from futures to spot markets (but not the reverse), futures volatility shocks are more persistent than spot volatility shocks, and the convergence of spot and futures prices is asymmetric and non-linear. These results have important implications. In particular, since the theory of storage implies that spreasd vary with fundamental supply and demand factors, the strong relation between spreads and volatility suggests that these fundamentals — rather than trading induced noise — are the primary determinants of spot price volatility. The volatility spillovers, differences in volatility persistence, and lead-lag relations are consistent with the view that the futures market is the primary locus of informed trading in refined petroleum product markets. Finally, our finding that error correction processes may be non-linear, asymmetric, and volatility inducing suggests that traditional approaches to the study of time series dynamics of variables that follow a common stochastic trend that ignore these complexities may be mis-specified.     

Liquidity shocks and real GDP growth: Evidence from a Bayesian time-varying parameter VAR

We examine the dynamic impact of liquidity shocks resonating in stock and housing markets on real GDP growth. We fit a Bayesian time-varying parameter VAR model with stochastic volatility to US data from 1970 to 2014. GDP becomes highly sensitive to house market liquidity shocks as disruptions in the sector start to emerge, yet more resilient to stock market liquidity shocks throughout time. We provide substantial evidence in favour of asymmetric responses of GDP growth both across the business cycle, and among business cycle troughs. Stock and house market liquidity shocks explain, on average, 17% and 35% of the variation in GDP during the Great Recession, respectively.     

A Labor Capital Asset Pricing Model

We show that labor search frictions are an important determinant of the cross‐section of equity returns. Empirically, we find that firms with low loadings on labor market tightness outperform firms with high loadings by 6% annually. We propose a partial equilibrium labor market model in which heterogeneous firms make dynamic employment decisions under labor search frictions. In the model, loadings on labor market tightness proxy for priced time‐variation in the efficiency of the aggregate matching technology. Firms with low loadings are more exposed to adverse matching efficiency shocks and require higher expected stock returns.     

Term Structures in the Office Rental Market in Stockholm

This paper contains an empirical study of the rental term structure in a property market that included a dramatic boom and bust cycle. The study is applied to office leases in commercial properties located in Stockholm CBD, Sweden. The time period under study is 1977–1991. The number of observations (lease contracts) that we were able to make full use of in the regression analyses is n=861. For seven out of fifteen years studied, a significant term structure was observed. The estimated hedonic rent equation was also used to construct an office rental index.     

Dynamics of mining markets: Equilibrium implications for professional and casual miners

We design a simple equilibrium model to analyze the dynamics of the mining market in the presence of professional and casual miners. The model endogenously recovers two major unobservable drivers: the supply of computing power, and the dynamics of the fixed costs of mining. We calibrate the model to the market of Bitcoin and Ethereum and find that positive shocks to the supply of computing power (technological enhancements) translate into positive price shocks, and the benefits of these hikes are creamed off by professional miners. We also find that fixed costs are inversely related to technological enhancements, decrease at an exponential rate (which is twice as big for Bitcoin), and are the smallest during periods when professional miners have a monopoly.     

Market efficiency during the global financial crisis: Empirical evidence from European banks

This paper empirically investigates the asymmetric effect of news on the time-varying beta of selected banks from seven European countries during the current crisis period and also during the pre-crisis period. The paper applies daily data from thirteen large banks from France, Germany, Greece, Ireland, Italy, Portugal and Spain. The sample size ranges from 2002 to 2013 and includes the current global financial crisis (2007–2013). The BEKK GARCH model is first employed to estimate the time-varying beta and then linear regression is applied to investigate the asymmetric effect of news on the beta. The asymmetric effects are investigated based on both market and non-market shocks. Results show that some evidence of market efficiency can be witnessed via non-market shocks, however the market shocks indicate that the European banks foster a significant amount of uncertainty leading to asset mispricing. Results also show a clear rift in terms of quality of results between France and Germany taken as a group and the rest of the countries under study. These results shed light on the level of market efficiency and hedging strategies.     

The Asymmetric Wealth Effect in the US Housing and Stock Markets: Evidence from the Threshold Cointegration Model

Previous studies commonly use a linear framework to investigate the long-run equilibrium relationship between the housing and stock markets. The linear approaches may not be appropriate if adjustments from disequilibrium are asymmetric in both markets. Nonlinear adjustments are likely to be observed since the two markets respond rather differently to negative shocks where the stock market is more volatile but price rigidity is found in the housing market. In this paper, we firstly propose two hypotheses on the long-run equilibrium relationship of the US housing and stock markets, and then employ the threshold cointegration model to investigate the potential asymmetric relationships between the two markets. Our empirical results reveal that cointegration exists among the markets, but adjustments toward its long-run equilibrium are asymmetric. Further evidence points out that a rapid mean reversion occurs in one regime where the stock price outperforms the housing price, and no significant reversion is found in the other regime, supporting the hypothesis of the existence of an asymmetric wealth effect among the two markets in the US. Furthermore, evidence from the asymmetric vector error correction model shows that significant error corrections toward the equilibrium exist in the short run only when the stock price exceeds the real estate price by the estimated threshold level, reassuring the finding of the asymmetric wealth effect.     

Employment in the Great Recession: How Important Were Household Credit Supply Shocks?

I pool data from all large multimarket lenders in the United States to estimate how many of the over 7 million jobs lost in the Great Recession can be explained by reductions in the supply of mortgage credit. I construct a mortgage credit supply instrument at the county level, the weighted average (by prerecession mortgage market shares) of liquidity-driven lender shocks during the recession. The reduction in mortgage supply explains about 15% of the employment decline. The job losses are concentrated in construction and finance.     

The value of the floor

Existing theoretical literature suggests that floor trading has discernable benefits over electronic trading. In particular floor relationships lead to a reduction in asymmetric information and hence lower spreads. The ability of floor brokers to participate in incoming order flow without revealing their supply and demand curves increases total liquidity and dampens liquidity shocks leading to lower volatility. We develop hypotheses and test them on a sample of stocks that switch from floor trading to an electronic system with fairly identical rules and pre-trade transparency. We find strong support for existing theory and our hypotheses. In particular asymmetric information and volatility are significantly higher on the electronic system. This leads to an increase in investor transaction costs which dwarfs the operational cost advantages of the electronic systems. Our results are robust to tests involving samples that control for company specific factors and market wide trends.