Expectations Hypothesis and Term Structure of Interest Rates: An Evidence from Emerging Market

The integration of emerging economies with developed economies has changed the behaviour of interest rates and exchange rate fluctuation. The current study tries to analyse the implication of expectation hypothesis (EH) and term structures of interest rates between India and US. Using vector auto regressive estimates, the study tries to test the dynamic interdependence of interest rates on exchange rate fluctuation. Further, the study estimates Granger causality tests and Impulse Response Functions to test the behaviour of interest rate movements for a period of nineteen years ranging from June 1996 to June 2015.The empirical results of the study show evidence in line with the existence of EH in the case of emerging market. Nevertheless, in the case of advanced economies we do not find any evidence for EH. The findings revealed that the spread between long and short rate of India is influenced by short-term interest rates and past values of Indian spread. This implies that the fluctuations in the long rate over the short rate evidenced the strong presence of EH as far as emerging economy is concerned.To the best of our knowledge, this is the first study in Indian market, which tests the role of EH in interest rate fluctuations along with exchange rate. Since majority of the studies on term structure of interest rates focus on developed markets, the present study is an attempt to test the causal relationship between developed and developing economies.     

The dynamics of economic growth,oil prices,stock market depth,and other macroeconomic variables: Evidence from the G-20 countries

This paper examines the linkages between economic growth, oil prices, depth in the stock market, and three other key macroeconomic indicators: real effective exchange rate, inflation rate, and real rate of interest. We employ a panel vector autoregressive model to test Granger causality for the G-20 countries over the period 1961–2012. A novel approach to this study is that we clearly demarcate the long-run and short-run relations between the economic variables. The results show a robust long-run economic relationship between economic growth, oil prices, stock market depth, real effective exchange rate, inflation rate, and real rate of interest. In the long run, real economic growth is found to respond to any deviation in the long-run equilibrium relationship that is found to exist between the different measures of stock market depth, oil prices, and the other macroeconomic variables. In the short run we find a complex network of causal relationships between the variables. While the empirical evidence of short-run causality is mixed, there is clear evidence that real economic growth responds to various measures of stock market depth, allowing for real oil price movements and changes in the real effective exchange rate, inflation rate, and real rate of interest.     

国债收益率对信贷市场均衡的影响

国债市场规模的扩大可以满足机构投资者的收益性和流动性偏好,机构投资者投资组合的调整使得国债具有影响信贷市场均衡的功效:国债收益率变化影响信贷市场利率和信贷市场均衡规模。实证研究表明,在协整关系上国债收益率和信贷资金增长率具有负相关关系,表明国债收益率上升对信贷资金增长率具有降低作用,不过效果不明显,不足以成为影响信贷市场资金规模的原因。国债收益率和信贷资金增长率不互为因果关系,这与中国国债规模偏小、持有者结构不合理和交易所国债市场逐渐边缘化的趋向有关。     

Understanding Housing Market Volatility

The Campbell–Shiller present value formula implies a factor structure for the price–rent ratio of housing market. Using a dynamic factor model, we decompose the price–rent ratios of 23 major housing markets into a national factor and independent local factors, and we link these factors to the economic fundamentals of the housing markets. We find that a large fraction of housing market volatility is local and that the national factor has become more important than local factors in driving housing market volatility since 1999, consistent with the findings in Del Negro and Otrok (2007). The local volatilities mostly are due to time variations of idiosyncratic housing market risk premia, not local growth. At the aggregate level, the growth and interest rate factors jointly account for less than half of the total variation in the price–rent ratio. The rest is due to the aggregate housing market risk premium and a pricing error. We find evidence that the pricing error is related to money illusion, especially at the onset of the recent housing market bubble. The rapid rise in housing prices prior to the 2008 financial crisis was accompanied by both a large increase in the pricing error and a large decrease in the housing market risk premium.     

Housing Price Bubbles in Hong Kong, Beijing and Shanghai: A Comparative Study

This study investigates whether there was a housing price bubble in Beijing and Shanghai in 2003. The existence of a bubble can be interpreted from (abnormal) interactions between housing prices and market fundamentals. This paper introduces an enhanced framework, with the combination of standard econometric methodologies: i.e., Granger causality tests and generalized impulse response analysis, and the reduced form of housing price determinants. A test case in Hong Kong, between 1990 and 2003, is included to test the reliability of our methods because Hong Kong has experienced the formation and bursting of a huge housing bubble around the year 1997. It is found that the pattern and magnitude of the estimated bubbles conform quite well to the discrepancies between the actual and predicted prices. Also, the findings suggest that there appeared a bubble in Shanghai in 2003, accounting for 22% of the housing price. By contrast, Beijing had no sign of a bubble in the same year. The bubble phenomenon, of course, should be taken with cautions. Nonetheless this study has laid the groundwork for further investigations in abnormal housing price phenomena in Mainland China.     

The Effects of Anticipated Inflation on Housing Market Equilibrium

An increase in the anticipated rate of inflation causes distortions in the housing market due to a nonindexed tax system. Since nominal rather than real interest payments are tax deductible, an increase in inflation decreases the aftertax cost of capital for homeowners, which in turn increases the demand for housing and increases its real price. This tax gain is shown to be larger for rental housing than for owner-occupied housing. In a competitive market, this implies that although the real price of housing increases with a rise in anticipated inflation, real rental rates fall.     

Monetary Policy and the Housing Bubble

The causes of the housing bubble are investigated using Granger causality analysis and VAR modeling methods. The study employs the S&P/Case-Shiller aggregate 10 city monthly housing price index, available in the period 1987–2010/8, the 20 city monthly housing price index for 2000–2010/8, and the federal funds rate data for the period 1987–2010/8. The findings are consistent with the view that the interest rate policy of the Federal Reserve in the period 2001–2004 that pushed down the federal funds rate and kept it artificially low was a cause of the housing price bubble.     

The Role of Interest Rates in Influencing Long-Run Homeownership Rates

As a stated policy objective, the U.S. Department of Housing and Urban Development (HUD) seeks to boost the national homeownership rate to 70 percent by 2006. To accomplish this goal, they estimate that 3.8 million additional families be added to the ranks of U.S. homeowners. Furthermore, HUD estimates that the homeownership gap between minority and nonminority families must be reduced by a full 15 percent. Many policy instruments—both targeted and otherwise—have been suggested to increase homeownership. These range from low downpayment loans, greater access to credit in underserved areas, and interest rates subsidies. However, little is know about the efficacy of these measures to raise long-term homeownership rates. In this analysis, we focus on the role of interest rates on homeownership rates and the housing stock. In particular, we provide a critical review of the literature on the relationship between housing and interest rates in contrast to other determinants of homeownership and changes in housing supply. We then present our own estimates of the influence of interest rates on homeownership and housing starts. We find that interest rates play little direct role in changing homeownership rates. While changes in interest rates may affect the timing of changes in tenure status from renter to owner, the long-run ownership rate appears independent of interest rates. We find housing starts are, however, sensitive to changes in the interest rate. This implies that housing supply, or at least the timing of changes in housing supply, is sensitive to interest rates. It is though this mechanism that the stock of owner-occupied housing expands, though household formation and immigration may leave the ownership rate unchanged. We conclude by discussing whether other instruments, such as low down payment loans and improved technology for assessment of credit risk, may potentially be better suited to increasing long-term homeownership rates.     

The Dynamic Impact of Macroeconomic Aggregates on Housing Prices and Stock of Houses: A National and Regional Analysis

This article analyzes the dynamic effects of four key macroeconomic variables on the housing prices and the stock of houses sold on the national and regional levels using a nonstructural estimation technique. The impulse response functions derived from the VAR suggest that macroeconomic variables produce cycles in housing prices and houses sold. The housing market was found to be very sensitive to shocks in the employment growth and mortgage rate at both the national and regional levels. In particular, regional housing prices reflect regional employment growth, as well as national mortgage rates. The study also reveals that the economic variables have a different impact on the dynamic behavior of housing prices and the number of houses sold in different regions at different time periods and that these economic aggregates alone cannot explain the fluctuations in real estate values and construction levels that occurred in some regions.     

汇率敏感性会影响企业贷款利率吗？——基于中国上市公司的分析

本文基于中国A股上市公司2009-2018年的数据,测算了企业价值对人民币汇率变动的敏感性。在此基础上,实证检验了汇率敏感性(企业价值对汇率变动的敏感程度)对企业贷款利率的影响和作用机制。研究发现:汇率敏感性与企业贷款利率之间显著正相关,且这种关系在拥有境外收入、境外投资和使用外汇衍生品的公司中更加显著。进一步分析发现,对于存在密切银企关系、较大的股东债权人利益冲突以及抵押品价值较低的企业,汇率敏感性与贷款利率之间的正相关关系更加显著。本文研究结果表明,随着我国市场化改革的进一步深化,贷款利率将会更加显著地反映企业的汇率敏感性特征。这种效应对于存在海外业务、银行更了解借款公司信息,以及违约可能性更高的公司更加明显。本文研究对于增强我国企业应对汇率风险能力,完善金融机构风险定价能力,引导金融机构服务实体企业具有一定参考意义。     

中央国库现金管理中标利率与货币市场利率关系的实证分析

文章在梳理中央国库现金管理发展及货币市场利率体系的基础上,采用协整方程和误差修正模型实证检验了中央国库现金管理中标利率与同业拆借利率和回购利率之间的协整关系,研究表明其与二者均存在长期协整关系,误差修正模型的调整力度为0.8。文章分析了这种长期趋势存在的现实原因。最后结合实证分析中样本出现的特点,就进一步完善中央国库现金管理提出建议。     

柳州市房地产信贷规模与房地产价格关系的实证分析

本文在对柳州市房地产市场发展的信贷支持进行定性分析的基础上,利用2003年1季度至2009年4季度的季度数据,运用多变量协整分析技术对房地产信贷与柳州房地产市场价格波动之间的关系进行实证检验,结果表明柳州房地产信贷规模变动是房地产价格变动的主要原因之一,但房地产信贷变化不是对房地产市场状况的反映。     

Dynamic Residential Housing Cycles Analysis

This paper develops and tests a theoretical model for residential housing market cyclical dynamics. The model employs an interactive supply and demand framework to engender housing price dynamics. Under our set of assumptions, the two equation system is econometrically identified: the first equation, housing demand, relates rent, property values, and capitalization rates with demand fundamentals. The second equation, housing supply, relates housing investment and property values with supply fundamentals. Using the model, we analyze empirically the cyclical dynamics for residential properties in Los Angeles, San Francisco, San Diego and Sacramento for the 1988–2003 time period. The theoretical and econometric design represents improvements and/or modifications of previous studies in at least four ways. First, many of the earlier commercial cyclical analyses have focused on office appraisal and have relied on sparse transactions data, which are likely to be less reliable than the copious amount of residential transactions data. Second, the cyclical volatility and timing of single-family housing is different than that of commercial real estate. Third, by examining different local MSA markets in California, our study distinguishes and isolates national-macro, regional and local market variable effects upon cycles. Finally, utilizing quarterly data (versus annual data) sharpens our ability to focus upon cyclical behaviour. Our empirical analyses suggest that fundamentals, such as employment growth and interest rates are key determinants of the residential real estate cycles. However, in general, local fundamentals tend to have greater cyclical impacts than those of national or regional fundamentals.

我国货币政策对股票市场收益率影响的实证研究

为检验我国货币政策对股票市场的有效性,本文在经典理论的基础上,运用协整检验、格兰杰因果检验、VECM检验方法,对货币政策与股票市场收益率关系进行实证分析。研究结果表明：货币供应量增长率与股票市场收益率呈正相关关系,但长期内影响效果不显著;利率的调整在短期内对股票收益率的影响较为显著,在长期内则表现为平稳,两者关系符合一般金融理论;进一步地,采用虚拟变量回归模型,分析了货币政策环境变化对收益率大小的影响。笔者根据我国的国情,分析这种传导效应的结果,做出了相应的判断,并对如何解决货币政策对股票市场传导中存在的问题提出了自己的看法。     

Spatial Autocorrelations and Urban Housing Market Segmentation

This paper seeks to let data define urban housing market segments, replacing the conventional administrative or any pre-defined boundaries used in the previous housing submarket literature. We model housing transaction data using a conventional hedonic function. The hedonic residuals are used to estimate an isotropic semi-variogram, from which residual variance–covariance matrix is constructed. The correlations between hedonic residuals are used as identifier to assign housing units into clusters. Standard submarket identification tests are applied to each cluster to examine the segmentation of housing market. The results are compared with the prevailing structure of market segments. Weighted mean square test shows that the defined submarket structure can improve the precision of price prediction by 17.5%. This paper is experimental in the sense that it represents one of the first attempts at investigating market segmentation through house price spatial autocorrelations.     

Bank Exposure to Interest Rate Risks During Financial Liberalization: Evidence from South Korea

This study documents the changing impact of long and short term interest rate risks on the equity prices of banks in South Korea during the process of financial liberalization. Consistent with the presence of regulatory constraints, Korean bank equity returns are found to be sensitive to both anticipated and unanticipated changes in interest rates in the first period (1976-81) when banks were largely under government control. However, during our last period (1989-99) of liberalization, Korean bank equity returns were found to have a positive association only with unanticipated short-term interest rates. Consistent with the ability to manage other interest rate risks successfully, in this last liberalization period, Korean bank equity returns had no association with long-term or with anticipated short-term interest rates. In view of the continued interest in banking and financial market liberalization among many Asian, African, and formerly socialist countries including China, these results should be of much banking and policy interest. JEL Classifications: G21, G28, E44, L89     

美国金融体系的利率风险分析——以次贷危机的引发和扩散为例

本文通过实证方法探讨次贷危机引发和扩散中的利率风险问题。主要结论是:从长期利率角度看,对房市的"松"货币政策从2001年降息一直持续到2005年6月;过低的长期利率会过度挤压金融机构放贷的长期收益,进而增大金融体系的利率风险。次贷危机的直接原因是,高利率、强美元导致的大量外资流入与混合调息抵押初始低利率相结合,共同推动了高风险次贷的发放;在高息和房价下跌条件下,大量混合调息抵押集中进入初次利率重置期,导致次贷违约状况的急速恶化。次贷危机扩散中,尽管联邦基金利率快速下降,但高风险的金融环境导致低利率对增加金融市场流动性的刺激作用失效。     

中国信贷市场利率与经济波动:2004-2010

本文基于VAR和VEC模型对我国信贷市场利率与经济波动的关系进行实证分析。研究结果表明:(1)投资、消费对于信贷市场利率的冲击处于负的脉冲响应,投资的响应更显著。投资、消费对信贷市场利率的影响非常有限。(2)投资波动对产出波动起主要作用;产出对投资波动和消费波动的影响程度有限;(3)信贷市场利率与投资、消费、产出之间存在长期均衡关系。基于这些分析结论,文章提出若干政策建议。     

The Role of People’s Expectation in the Recent US Housing Boom and Bust

This paper investigates how an important driver of the recent housing boom and bust, people’s expectation, influences housing asset returns. Specifically, it extends the volatility feedback model to study the relationship between housing volatility and asset returns during 19632007. The analysis considers two alternative breakpoints, 1984Q1 and 1999Q1, in order to distinguish the permanent structural break from temporary Markov-switching volatility. The novelty of this study lies in its insightful investigations into the recent U.S. housing boom and bust in the post-1999 period in four dimensions. First, the significantly negative volatility feedback effect in the housing market suggests a positive relationship between housing volatility and expected asset returns, and highly supports the important role of people’s expectations in the recent housing boom and bust. Second, the high-volatility regimes of the housing market delivered by this study indicate a strong association between housing cycles and business cycles, as well as a remarkable uncertainty in the U.S. housing market after the recession 2001. Third, the violated fundamental which refers to the broken negative relationship between housing volatility and realized asset returns during 2001–2004 implies the possible presence of a housing bubble during this period. Finally, volatility feedback anticipates the recent bubble-like housing market dynamics because high volatility during 2002–2003 implies low realized returns in the early housing-boom stage (2002–2003), as well as high expected returns in the second stage of the housing boom (2004–2005).     

中国住房市场波动的影响因素研究——基于租金收益率的方差分解

基于资产定价的视角,本文通过将标准的动态戈登增长模型和传统的住房使用成本模型相结合,建立了一个关于住房市场租金收益率的动态住房使用成本模型。该模型将租金收益率分解为购房的预期资金成本、预期购房相对于租房的风险溢价和预期未来租金增长率三个部分的现值之和。进一步,本文将该模型应用于京沪广深四大城市的季度数据,并使用方差分解方法来考察国内住房市场动态波动的影响因素及其相对重要性。本文结果表明,资金成本变动在四大城市的住房市场波动中为最重要的影响因素,而租金在住房市场波动中虽然存在着一定的影响作用,但并不如资金成本显著。此外,本文还发现,不能直接观测得到的购房相对于租房的风险溢价也是影响国内住房市场的一个不可忽视的重要因素。值得注意的是,近年四大城市居民租房面临的风险相对于购房正日益上升。