金融冲击与房地产市场波动*——一个宏观分析框架及中国的经验证据

本文从总量宏观分析的视角,提出了金融变量与房地产市场的“总体冲击—传导机制”假说,据此用中国的数据构建金融状况指数（包含房价的FCI1和不包含房价的FCI2）,再对金融状况指数（FCI1和FCI2）与房地产指数做实证分析。研究发现,在资产价格中房价比股价更能反映一国的金融状况;在引入金融状况指数的金融变量中,利率与房价的相关性最强;房价和利率对总产出的影响周期更长。国房景气指数、房地产投资指数和房价指数对FCI冲击的响应显著,并存在不同的表现。由于房价对居民财富、金融状况和宏观经济的影响显著,货币政策理应干预房价,必须精准把握干预的时机和干预的力度以及注重多种货币政策工具的有效搭配使用。     

Acquisition of Information and Share Prices: An Empirical Investigation of Cognitive Dissonance

Abstract. This paper deals with the determinants of agents' acquisition of information. Our econometric evidence shows that the general index of Italian share‐prices and the series of Italy's financial newspaper sales are cointegrated, and the former series Granger‐causes the latter, thereby giving support to the cognitive dissonance hypothesis: (non‐professional) agents tend to buy the newspaper when share prices are high and not to buy it when share prices are low. Instead, we do not find support for the hypothesis that the agents acquire information in order to trade in the stock market: we find no relationship between quantities exchanged in the market and newspaper sales, nor between stock market volatility and newspaper sales.     

Global Integration of Central and Eastern European Financial Markets—The Role of Economic Sentiments

This paper examines the importance of different economic sentiments for the Central and Eastern European countries (CEECs) during the transition process. We first analyze the importance of economic confidence with respect to the CEECs' financial markets. Since the integration of formerly strongly‐regulated markets into global markets can also lead to an increase in the dependence of the CEECs' economies on global sentiments, we also investigate the relationship between global economic sentiments, domestic income, and share prices. Applying a restricted cointegrating VAR (CVAR) framework, which allows us to distinguish between the long‐run and the short‐run dynamics, our results for the short run suggest that economic sentiments are influenced by share prices but also offer some predictive power with respect to the latter. What is more, European sentiments play an important role in particular for the CEECs' income and sentiments.     

Stock market crash of 2008: an empirical study of the deviation of share prices from company fundamentals

The aim of this study is to investigate quantitatively whether share prices deviated from company fundamentals in the stock market crash of 2008. For this purpose, we use a large database containing the balance sheets and share prices of 7796 worldwide companies for the period 2004–2013. We develop a panel regression model using three financial indicators – dividends per share, cash flow per share and book value per share – as explanatory variables for share price. We then estimate individual company fundamentals for each year by removing the time fixed effects from the two-way fixed effects model, which we identified as the best of the panel regression models.

Based on these results, we analyse the market anomaly quantitatively using the divergence rate – the rate of the deviation of share price from a company’s fundamentals. We find that share prices on average were overvalued in the period from 2005 to 2007 and were undervalued significantly in 2008, when the global financial crisis occurred. Share prices were equivalent to the fundamentals on average in the subsequent period. Our empirical results clearly demonstrate that the worldwide stock market fluctuated excessively in the time period before and just after the global financial crisis of 2008.     

The turning black tide: energy prices and the Canadian dollar

Abstract.  This paper revisits the relationship between energy prices and the Canadian dollar, using an equation first developed by Amano and van Norden (1995) . They found evidence of a negative relationship between these two variables, such that higher real energy prices led to a depreciation of the Canadian dollar. Based on structural break tests, we find a break point in the sign of this relationship, which changes from negative to positive in the early 1990s. The timing of the break is consistent with major changes in Canada's energy policies and in energy-related cross-border trade and investment.     

Stock Market Fluctuations and Money Demand in Italy, 1913–2003

This paper examines the impact of stock market fluctuations on money demand in Italy from a long‐run perspective. The money demand function estimated by Muscatelli and Spinelli (2000) for a long time span is utilized as a benchmark, adding to the specification information on share prices from the Milan Stock Exchange Reform of 1913 to recent years. For a shorter time period (1938–2003), annual observations on stock market capitalization and turnover velocity are also considered. The empirical findings suggest that stock market fluctuations help to explain temporary movements in liquidity preference, rather than its secular patterns. Overall, a positive association emerges between an index of stock market prices that includes dividends and real money balances; however, the estimated long‐run relationship is unstable. In a dynamic, short‐term specification of money demand, the estimated coefficient of deflated stock prices is positive, and therefore compatible with a wealth effect, in the years 1913–1980, while in the last two decades a substitution effect has prevailed and the correlation between money and share prices has been negative. This is likely to reflect a change in financial structure and the increasing role of opportunity costs defined over a wider range of assets. These results are confirmed by data on stock market capitalization. Moreover, in the recent period, stock market turnover and money growth are positively correlated .     

The impact of financial regulation on current account balances

Both global imbalances and financial market deregulation feature prominently among the potential causes of the global financial crisis, but they have been largely discussed separately. In this paper, we take a different angle and investigate the relationship between financial market regulation and current account balances, an area for which limited empirical evidence exists. We use a panel of countries over the period 1980–2010 and employ a novel empirical approach which allows us to simultaneously account for model uncertainty, current account persistence and unobserved heterogeneity. We find robust evidence that financial market regulations affect current account balances and that different aspects of these regulations can have opposing effects on the current account. In particular we find that easing bank entry barriers is negatively associated with the current account balance. In contrast, bank privatization and securities market deregulation tend to raise current account balances. Our results also highlight the importance to control for persistence and unobserved heterogeneity. Once we control for these factors, we find robust evidence for a wide range of current account theories in contrast to previous studies accounting for model uncertainty.     

A green winner's curse? Investor behavior in the market for eco-certified office buildings

This paper contributes to the growing literature on the economics of green buildings: by merging auction theory and hedonic regression analysis we investigate the relationship between market concentration and price premiums in the American market for eco-certified real estate assets. Auction theory is used to model price formation where eco-investors may differ in their valuation of assets. Controlling for a large number of features, the empirical results provide evidence of a significant and positive relationship between investors’ eco-certified market share and prices of eco-certified space. Contributing to the recent debate over the nature of the green premium, we find that eco-investors are creating clientele effects and that they may be subject to a green winner's curse.     

Forecasting UK house prices: A time varying coefficient approach

Previous studies of UK house prices, developed from the demand and supply ofhousing or from the asset market approach have been poor in terms of robustness and ex-post forecasting ability. The UK housing market has suffered a number of structural changes, particularly since the early 1980s with substantial house price increases, financial market deregulation and the removal of mortgage market constraints through competition. Consequently, models which assume that the underlying data-generating process is stable and apply constant parameter techniques tend to suffer in terms of parameter instability. This article uses the Time Varying Coefficient (TVC) methodology where the underlying data-generating process in the UK housing market is treated as unstable. The estimation results of the TVC regression of UK house prices is compared with those obtained from three alternative constant parameter regressions. Comparisons of forecasting performance suggest the TVC regression out-performs forecasts from an Error Correction Mechanism (ECM), Vector Autoregressive (VAR) and an Autoregressive Time Series regression.     

我国资产价格波动与货币政策关系研究

随着金融自由化的逐步推进,资本市场存量日益增大.这既体现了金融深化程度的提高,又意味着货币供应与国民经济主要指标之间稳定性的弱化.资产价格对货币政策的制订和执行会产生深刻的影响.其中股价、房价等资产价格在货币政策传导机制中扮演的角色越来越重要.本文从实证角度出发,通过构建VAR模型检验我国资产价格对货币政策的反应以及资产价格对货币政策目标的影响,发现资产价格、货币政策及货币政策目标间存在长期协整关系,资产价格对产出有正向冲击作用,股市显著影响通货膨胀,但房地产市场对通货膨胀推动作用不明显,资产价格受货币政策的冲击影响显著,其中股市对货币政策冲击的反应明显大于房地产市场.     

The transmission of financial shocks in an estimated DSGE model with housing and banking

We develop a dynamic stochastic general equilibrium (DSGE) model with housing and banking to study the transmission of financial shocks between the financial and real sectors. A deterioration in the bank's balance sheet induced by financial shocks could have amplified and persistent impacts on real activities. The amplification of the shocks are originated from financial frictions tied to households and banks. We find that a disruption in bank net worth initiated by capital quality shocks generates a decline in household loans, house prices and output. Bank liquidity shocks also have negative effects on these variables. Housing preference shocks could generate a positive comovement between house prices and output. All these findings are qualitatively consistent with empirical evidence, suggesting that these financial shocks are critical to the dynamics of house prices and other macroeconomic variables.     

Real and financial effects of insider trading with correlated signals

Summary. In this paper we study the real and financial effects of insider trading in a Static, Kyle-type model. In our model the insider is also the manager of the firm. Hence the insider chooses both the amount of the real output to be produced and the amount of the stock of the firm to trade. The aim of the paper is to study the relationship between financial decisions and real decisions. In particular, we examine how insider trading on the stock market affects the real output and price and how the real decision making affects the financial variables, such as the extent of insider trading, stock prices, and the stock pricing rule of the market maker. In the model, the market maker observes two correlated signals: the total order flow and the market price of the real good. We study the informativeness of the stock price and the effects on insider's profits. We also construct a compensation scheme that aligns the interests of the insider and the firm. Finally, we generalize the pricing rule set up by a competitive market maker and analyze the comparative statics of the model. Received: October 3, 1999: revised version: December 1, 1999     

Finance and sources of growth: evidence from the U.S. states

How does financial development affect economic growth: through its impact on accumulation of physical and human capital or by boosting total factor productivity (TFP) growth? We use a new data set on output, inputs, and total factor productivity for the US states to study this question. Unlike previous cross-country research that tries to disentangle the channels through which financial development impacts growth, we use a plausibly exogenous measure of financial development: the timing of banking deregulation across states during the period 1970–2000. At the same time our new data set allows us to go beyond what was previously done in the state banking deregulation literature and identify whether finance impacts states’ input accumulation or TFP growth. We find, in line with existing cross-country studies, that deregulation boosts growth by accelerating both TFP growth and the accumulation of physical capital without having any impact on human capital. In contrast to the cross-country studies, we also find that the effects of deregulation are largely independent of states’ initial level of development; both rich and poor states grow faster after deregulation. Additionally, since our data set breaks down aggregate output into three sectors: agriculture, manufacturing, and the remaining industries, we are able to show that deregulation accelerates the growth of productivity in manufacturing. This last finding answers an important critique of the banking deregulation studies which asserts that observed growth effects may be coming from the growth of financial industry itself and not from the beneficial effect of finance on other industries, such as manufacturing.     

Employment and Productivity Growth in Europe and North America: The Impact of Labor Market Institutions

In this paper, we examine long-run employment and productivity growth in the major economies of North America and Europe from 1960 to the early 1990s. We develop a model in which output growth is determined by the growth of aggregate demand, and the relative contributions of employment and productivity growth to the growth of output depend on country specific labor market institutions. We find that institutions that promote collective bargaining, employment security and social protection have roughly equal and opposite effects on employment growth (negative) and productivity growth (positive), giving rise to an inverse relationship between these variables. The welfare implications of this finding are that labor market deregulation could result in more work and greater inequality and insecurity for workers, without significantly increasing the rate of economic growth.     

中国上市公司大股东侵害度实证分析

本文选择了 1 999年到 2 0 0 1年间 ,沪深两市 88家上市公司共 90项大宗国有股和法人股转让事件作为样本 ,分析股权的转让价格 ,发现样本公司的平均转让价格高于净资产价值近 3 0 %。笔者对影响转让价格的因素进行了多变量线性回归分析 ,发现随着转让股份比例的上升 ,转让价格也随之上升 ,并且在统计上显著 ;转让溢价高低与企业规模成反向变动 ,并在统计上显著 ;企业获利能力与溢价高低成反比 ,但没有发现在统计上显著。本文最后对大股东侵害度进行了国际比较。     

Financialization and commodity prices – an empirical analysis for coffee,cotton, wheat and oil

Commodity prices have crucial implications for developing countries. The question whether the financialization of commodity derivative markets has contributed to high and volatile commodity prices has been controversially debated. Building on limitations in the empirical literature, we estimate a multivariate Vector Autoregressive (VAR) model to assess the effect of different groups of financial investors (index investors and money managers) as well as fundamental and macroeconomic variables on the prices of coffee, cotton, wheat and oil. We find that, in contrast to index investors, money managers’ net long positions have a large statistically significant effect on commodity prices. This calls for policy interventions as commodity derivative markets may cease to perform their fundamental developmental roles.     

Financial Market Data Versus Accounting Data: Which Better Explains Stock Returns?

This paper presents the comparison of how financial market and accounting data affect stock prices and returns. The goal was to ascertain whether financial information or accounting data dominate in evaluating stock prices. Most valuation techniques used by firms are based on models using either accounting variables (earnings, book value, cash flows, research and development expenses) or financial market data (e.g. beta, market value, interest). The answer is of great importance for valuators and investors as it will help them focus on the most important variables and make better valuations and choices. This answer is also important for accounting standard setters as the preferred method will serve as an indicator for the quality of financial statements and their importance to users. The paper contributes to the existing literature in the fields of value relevance of accounting information and firm valuation and accounting standards (e.g. International Financial Reporting Standards, United States General Accepted Accounting Principles). To answer this question, share prices were estimated based on financial data using the capital asset pricing model and for accounting data, using Ohlson’s model. The results were tested for both methodologies by comparing estimated share prices with actual ones. The greater the correlation between the two variables the better the explanatory power of the model. The focus was on S&P 500 firms for the period 2002–2017.

     

The impact of housing market disturbances on the US financial system: a pre-crisis analysis

A common critique of the Federal Reserve over the past crisis is that it should have better anticipated the impact of the run-up in home mortgage debt and the subsequent housing market crash on the financial system. As a result, the Federal Reserve should have moved much more quickly to shore up financial markets. Our article tests the hypothesis that the impact of the housing market crash on the financial system could have been anticipated. Using a VAR model along with impulse response functions and variance decompositions, we examine the link between housing market mortgage debt shocks and the financial intermediaries’ credit market behaviour. We find important connections between key macroeconomic variables and the credit behaviour of these financial institutions. However, using the pre-crisis data, we find that housing market debt shocks fail to have an impact on the credit markets accessed by these firms. These results support the notion that the impact of this crisis on the financial system could not have been anticipated given the information available at the time.     

The “price puzzle” in the monetary transmission VARs with long-run restrictions

This study addresses the “price puzzle” — a positive response of prices to monetary tightening in VAR models. By using long-run instead of the usual short-run restrictions on the US data including output, prices and interest rate, we find that monetary tightening had a negative effect on prices.     

The dark side of the black gold shock onto Europe: One stock's joy is another stock's sorrow

This paper examines the impact of the current oil prices fall on Europe. We estimate a Bayesian shrinkage VAR model and analyse the impulse response functions to investigate the reaction of European stock markets to the current oil prices collapse. Using data covering the March 2002 to May 2014 period, our main result is that European stock markets are negatively and significantly affected by the crude oil shock. We prove that this result is robust to reasonable changes in the Bayesian shrinkage VAR model of the variables order and inclusion of additional variables. The findings shed light that common features exist among the European stock markets. Furthermore, the results highlight that the most exposed stock market is the French one, and that the least affected market is the Austrian one.