The Structural Relation Between Mortgage and Market Interest Rates

This paper analyzes the dynamic relationship between primary and secondary mortgage markets and the short-term and long-term market interest rates. Using a series of monthly data on fixed rate mortgage rates and GNMA rates, we explore the dependence and speed of adjustment in these primary and secondary mortgage rates to each other as well as to the long and short-term government rates. The results indicate that residential mortgage rates in general, appear to follow the long-term rate and are not very sensitive to movements in the short-term interest rate.     

From T-Bills to Stocks: Seasonal Anomalies Revisited

This paper employed eleven data series which consist of stocks, bonds, bills, equity premiums, term premiums, and various default premiums to investigate whether January seasonality reported in existing literature is robust across different states of the economy as this has important trading implications. For the periods 1926–1990, small stocks, small stock premiums, low grade bonds, and default premiums (spread between high grade, low grade and government bonds) reveal January seasonality and that the seasonality is robust across different states of the economy except for low grade bond returns and default premiums. January seasonality for low grade bond returns and low grade bond default premiums are primarily driven by results found during periods of economic expansion. Overall, January seasonality is more evident during the economic expansion periods although the magnitude of default premiums is larger during periods of economic contraction. Furthermore, prior findings of strong summer equity returns are primarily driven by the results found during the periods of economic contraction. It is also found that equity returns are generally higher during periods of economic expansion.     

Sources of business fluctuations: Financial or technology shocks?

Despite the widespread belief that technology shocks are the main source of business fluctuations, recent empirical studies indicate that in the absence of financial frictions, a shock to the marginal efficiency of investment is the main source and is closely related to financial conditions for investment. We incorporate a financial accelerator mechanism and two types of financial shocks to the external finance premium and net worth in a dynamic stochastic general equilibrium model with shocks to the marginal efficiency of investment, the investment-good price markup, and the rates of neutral and investment-specific technological changes. This model is estimated using eleven US time series that include data on loan, net worth, the loan rate, and the relative price of investment. Our estimation results show that the (non-stationary) neutral and investment-specific technology shocks primarily drive output and investment fluctuations, while the external finance premium shock plays an important role for investment fluctuations. This financial shock induced substantial falls and subsequent sharp hikes in the external finance premium and caused boom–bust cycles over the past two decades.     

Pricing fx forwards in OTC markets – new evidence for the pricing mechanism when faced with counterparty risk

By using daily foreign exchange (fx) market data for five major currency pairs, this article shows that, especially since the beginning of the financial crisis, pricing of fx forwards has not matched the pricing formula derived from the covered interest rate parity (CIP). This corresponds to previous empirical results. Therefore, the CIP leads to systematic over- or underpricing. Overall, four statistically significant explanatory factors for this systematic over- or underpricing have been identified – the volatility in the difference between the interest rate levels, the spot price, the fx forward spread and the counterparty risk. In particular, the high significance of the counterparty risk demonstrates that pricing models for fx forwards should be reviewed.     

基于搜寻的有限参与、事件风险与流动性溢价

本文在一个简单的投资决策框架内对投资者面对国有股全流通这一事件风险时的最优决策问题进行建模 ,得到一个基于流动性的资本资产定价模型。结论表明 ,相对于不存在事件风险的情形而言 ,国有股的存在使得更多投资者不愿进入市场 ,导致市场流动性进一步下降。同时 ,这一事件风险使得选择进入市场的投资者要求更高的流动性溢价。由此 ,这一模型为最近几年来中国股市持续低迷的状况提供了一种理论解释