Tag Archives: Yang

Does corporate governance matter in competitive industries? Evidence from China

Zhuangxiong Yu, Jie Li, Jian Yang
Pacific Basin Finance Journal,Vol. 43, Pages: 238-255.

Using the data of Chinese listed firms from 2003 to 2013, this study examines how product market competition affects the impact of corporate governance on firm value. In sharp contrast with the overwhelming empirical evidence based on the US and European developed markets that product market competition acts as a substitute for corporate governance and good governance matters only in non-competitive industries, we document that good governance of Chinese firms significantly increases firm value only in …
[Full Text]

The impact of crude oil inventory announcements on prices: Evidence from derivatives markets

Hong Miao, Sanjay Ramchander, Tianyang Wang, Jian Yang
Journal of Futures Markets,In Press

This study examines the impact of weekly crude oil storage announcements on oil futures and options prices. We document evidence of a strong announcement day effect on both markets, and find prices to move in anticipation of the inventory surprise. Futures returns significantly decrease with positive surprises and increase with negative surprises. There is no evidence of an asymmetric impact on futures prices. Near-the-money options exhibit the greatest price sensitivity, and the magnitude of the price response of both …
[Full Text]

Are there exploitable trends in commodity futures prices?

Yufeng Han, Ting Hu, Jian Yang
Journal of Banking & Finance,Vol. 70, Pages: 214-234.

We provide evidence that a simple moving average timing strategy, when applied to portfolios of commodity futures, can generate superior performance to the buy-and-hold strategy. The outperformance is very robust. It can survive the transaction costs in the futures markets, it is not concentrated in a particular subperiod, and is robust to short-sale constraints, alternative specifications of the moving average lag length, alternative construction of the continuous time-series of futures prices, and impact from data mining. …
[Full Text]

Information Flow Between Forward and Spot Markets: Evidence From the Chinese Renminbi

Jiadong Tong, Zijun Wang, Jian Yang
Journal of Futures Markets,Vol. 36, Issue 7, Pages: 695-718.

We apply a new model selection approach that allows for the joint determination of structural breaks and cointegration to examine the term structure of Chinese Renminbi (RMB)-US dollar spot and forward exchange rates during the managed-floating period of 2005-2013. We find that the RMB market has exhibited different dynamic relationships between spot and forward exchange rates over time, apparently due to significant policy changes. Offshore forward rates with either shorter or longer maturities can substantially …
[Full Text]

Price Jump Risk in the US Housing Market

Robert I Webb, Jian Yang, Jin Zhang
The Journal of Real Estate Finance and Economics,Vol. 53, Issue 1, Pages: 29-49.

Housing prices, like the prices of other speculative assets, contain a mix of both small and large changes (ie, jumps). We apply a jump-GARCH model to monthly Case-Shiller housing price indexes of twenty cities in the US during the period January 1991 through December 2011. We document the evidence of large housing price jumps in many cities, during both the financial crisis and non-crisis periods. The housing price jump intensity observed during the whole sample is largely explained by city, state and national …
[Full Text]

The differential impact of the bank–firm relationship on IPO underpricing: evidence from China

Xiangchao Hao, Jing Shi, Jian Yang
Pacific-Basin Finance Journal, Vol. 30, November 2014, Pp. 207-232

This study investigates the impact of the bank–firm relationship on IPO underpricing in China, an emerging economy with a bank-dominated financial system. Utilizing a hand-collected loan data for 902 Chinese IPO firms from 2004 to 2011, we document that the bank–firm relationship reduces the degree of IPO underpricing. Both the lender’s and the borrower’s firm characteristics affect the signal quality of the bank–firm relationship, resulting in differential impacts on IPO underpricing. The relationship between firms and banks with …

Credit Risk Spillovers Among Financial Institutions Around the Global Credit Crisis: Firm-Level Evidence

Jian Yang and Yinggang Zhou
Management Science, (2013) Vol 59, Issue 10, pp. 2343-2359

Using credit default swap data, we propose a novel empirical framework to identify the structure of credit risk networks across international major financial institutions around the recent global credit crisis. Specifically, we identify three groups of players, including prime senders, exchange centers, and prime receivers of credit risk information. Leverage ratios and, particularly, the short-term debt ratio appear to be significant determinants of the roles of financial institutions in credit risk transfer, while corporate governance indexes, size, liquidity, and asset write-downs are not significant. Our findings carry important implications for a new regulatory standard on capital subcharge and liquidity coverage ratio.

Time-Varying Risk–Return Trade-off in the Stock Market

Hui Guo, Zijun Wang, Jian Yang
Journal of Money, Credit and Banking, Vol. 45, Issue 4, pp. 623-650

We uncover a strong comovement of the stock market risk–return trade-off with the consumption–wealth ratio (CAY). The finding reflects time-varying investment opportunities rather than countercyclical aggregate relative risk aversion. Specifically, the partial risk–return trade-off is positive and constant when we control for CAY as a proxy for investment opportunities. Moreover, conditional market variance scaled by CAY is negatively priced in the cross-section of stock returns. Our results are consistent with a limited stock market participation model, in which shareholders require an illiquidity premium that increases with CAY, in addition to the risk premium that is proportional to conditional market variance.

U.S. Monetary Policy Surprises and Mortgage Rates

Xu, Tracy, Han, Yufeng and Jiang, Yang
Real Estate Economics, Vol. 40 Issue 3, September 2012, pp.
461-507

This paper examines how the U.S. monetary policy surprises impact the mortgage rates in the nation and across five regions from 1990 to 2008. Regression analysis based on bootstrapping shows that surprises in the target federal funds rate (the target factor) have a significantly positive impact on the 1-year adjustable-rate mortgage (ARM) rate within the week of the FOMC announcements and the positive impact lasts up to one week after the announcements. Surprises in the future direction of the Federal Reserve monetary policy (the path factor) have significantly positive impacts on both the 1-year ARM rate and the 30-year fixed mortgage rates in the first week after the announcement. Furthermore, the responses of mortgage rates are asymmetric and affected by the size of monetary policy surprises, the stage of the business cycle and whether the monetary policy is tightening or loosening. There also exists heterogeneity in the mortgage rate pass-through process across regions and monetary policy surprises have differential impacts on the regional mortgage rates. The cross-region variations are mainly correlated with the regional housing market conditions, such as home vacancy and rental vacancy rates.

US Monetary policy surprises and mortgage rates

Pisun Xu, Yufeng Han, Jian Yang
Real Estate Economics,Vol. 40, Issue 3, Pages: 461-507.

This article examines how the US monetary policy surprises impact the mortgage rates in the nation and across five regions from 1990 to 2008. Regression analysis based on bootstrapping shows that surprises in the target federal funds rate (the target factor) have a significantly positive impact on the 1-year adjustable-rate mortgage (ARM) rate within the week of the Federal Open Market Committee announcements and the positive impact lasts up to 1 week after the announcements. Surprises in the future direction of the Federal …
[Full Text]

Asymmetric Correlation and Volatility Dynamics among Stock, Bond, and Securitized Real Estate Markets

Jian Yang, Yinggang Zhou and Wai Kin Leung
The Journal of Real Estate Finance and Economics, Vol. 45, Issue 2, pp 491–521
We apply a multivariate asymmetric generalized dynamic conditional correlation GARCH model to daily index returns of S&P500, US corporate bonds, and their real estate counterparts (REITs and CMBS) from 1999 to 2008. We document, for the first time, evidence for asymmetric volatilities and correlations in CMBS and REITs. Due to their high levels of leverage, REIT returns exhibit stronger asymmetric volatilities. Also, both REIT and stock returns show strong evidence of asymmetries in their conditional correlation, suggesting reduced hedging potential of REITs against the stock market downturn during the sample period. There is also evidence that corporate bonds and CMBS may provide diversification benefits for stocks and REITs. Furthermore, we demonstrate that default spread and stock market volatility play a significant role in driving dynamics of these conditional correlations and that there is a significant structural break in the correlations caused by the recent financial crisis.

Extreme correlation of stock and bond futures: International Evidence

Chin Man Chui and Jian Yang
The Financial Review, Vol. 47 Issue 3, August 2012, pp. 565-587

This study explores time-varying extreme correlation of stock-bond futures markets in three major developed countries. In the U.S. and the UK, there is evidence of positive extreme stock-bond correlation when both futures markets are extremely bullish or markets are extremely bearish. In German, stock-bond futures extreme correlation is negative, suggesting the most diversification potentials of bond futures when German stock when German stock index futures market plunges. Macroeconomic News,The Business cycle and the stock market uncertainty all significantly median stock bond futures correlation. However, only the stock market uncertainty still significantly affects the extreme stock-bond futures correlation when the stock market is extremely bearish.

Extreme correlation of stock and bond futures markets: international evidence

Chin Man Chui, Jian Yang
Financial Review,Vol. 47, Issue 3, Pages: 565-587.

This study explores time-varying extreme correlation of stock-bond futures markets in three major developed countries. In the United States and the United Kingdom, there is evidence of positive extreme stock-bond correlation when both futures markets are extremely bullish or bearish. In Germany, stock-bond futures extreme correlation is negative, suggesting the most diversification potentials of bond futures when German stock index futures market plunges. Macroeconomic news, the business cycle, and the stock …
[Full Text]

Intraday price discovery and volatility transmission in stock index and stock index futures markets: Evidence from China

Jian Yang, Zihui Yang, and Yinggang Zhou
Journal of Futures Markets, Vol. 32, Issue 2, pages 99–121
Using high-frequency data, this study investigates intraday price discovery and volatility transmission between the Chinese stock index and the newly established stock index futures markets in China. Although the Chinese stock index started a sharp decline immediately after the stock index futures were introduced, the cash market is found to play a more dominant role in the price discovery process. The new stock index futures market does not function well in its price discovery performance at its infancy stage, apparently due to high barriers to entry into this emerging futures market. Based on a newly proposed theoretically consistent asymmetric GARCH model, the results uncover strong bidirectional dependence in the intraday volatility of both markets.

U.S. Monetary Policy Surprises and International Securitized Real Estate Markets

Pisun Xu and Jian Yang
The Journal of Real Estate Finance and Economics, Vol. 43, Issue 4
This paper examines the impact of U.S. monetary policy surprises on securitized real estate markets in 18 countries. The policy surprises are measured by both the surprise changes to the target federal funds rate (the target factor) and surprises in the future direction of the Federal Reserve monetary policy (the path factor). The results show that most international securitized real estate markets have significantly positive responses to surprise decrease in current or future expected federal funds rates, though such responses vary greatly across countries. Also, while the U.S. securitized real estate market reacts mainly to the target factor, foreign securitized real estate markets react to the path factor. Furthermore, we find that the cross-country variation in the response to the target factor is correlated with the country’s exchange rate regime and its degree of real economic and particularly financial integration, while the cross-country variation in the response to the path factor is mainly related to the country’s degree of financial integration.

Linear and Nonlinear Predictablity of International Securitized Real Estate Returns: A Reality Check

Juan Cabrera, Tao Wang, and Jian Yang
Journal of Real Estate, Vol. 33, Num., Pages: 565-594
This paper examines the short-horizon return predictability of the ten largest international securitized real estate markets, paying special attention to possible nonlinearity-in-mean as well as nonlinearity-in-variance predictability. Although international securitized real estate returns are generally not predictable based on commonly-used statistical criteria, there is much evidence for the predictability based on economic criteria (i.e., direction of price changes and trading rule profitability), which is more often due to nonlinearity-in-mean. The forecast combinations for various models appear to improve the forecasting performance, while the allowance of data-snooping bias using White’s reality check substantially mitigates spurious out-of-sample forecasting performance and weakens otherwise overwhelmingly strong predictability. Overall, there is robust evidence for the predictability in many international securitized real estate markets.

Conditional coskewness in stock and bond markets: time-series evidence

Jian Yang, Yinggang Zhou, Zijun Wang
Management Science,Vol. 56, Issue 11, Pages: 2031-2049.

In the context of a three-moment intertemporal capital asset pricing model specification, we characterize conditional coskewness between stock and bond excess returns using a bivariate regime-switching model. We find that both conditional US stock coskewness (the relation between stock return and bond volatility) and bond coskewness (the relation between bond return and stock volatility) command statistically and economically significant negative ex ante risk premiums. The impacts of stock and bond coskewness on the …
[Full Text]

Nonlinearity and intraday efficiency tests on energy futures markets

Tao Wang and Jian Yang
Energy Economics, Vol. 32, Issue 2, pp. 496-503

Using high frequency data, this paper first time comprehensively examines the intraday efficiency of four major energy (crude oil, heating oil, gasoline, natural gas) futures markets. In contrast to earlier studies which focus on in-sample evidence and assume linearity, the paper employs various nonlinear models and several model evaluation criteria to examine market efficiency in an out-of-sample forecasting context. Overall, there is evidence for intraday market inefficiency of two of the four energy future markets (heating oil and natural gas), which exists particularly during the bull market condition but not during the bear market condition. The evidence is also robust against the data-snooping bias and the model overfitting problem, and its economic significance can be very substantial.

Nonlinearity, data-snooping, and stock index ETF return predictability

Jian Yang, Juan Cabrerab and Tao Wang
European Journal of Operational Research, Vol. 200 Issue 2,  pp. 498-507

This paper examines daily return predictability for eighteen international stock index ETFs. The out-of-sample tests are conducted, based on linear and various popular nonlinear models and both statistical and economic criteria for model comparison. The main results show evidence of predictability for six of eighteen ETFs. A simple linear autoregression model, and a nonlinear-in-variance GARCH model, but not several popular nonlinear-in-mean models help outperform the martingale model. The allowance of data-snooping bias using White’s Reality Check also substantially weakens otherwise apparently strong predictability.