Monetary integration in the Southern Cone

The effect of exchange-rate volatility on the domestic economy depends in part on the importance of trade in total economic activity. Unlike the European Union (EU), trade among the Mercosur countries is less highly integrated, so that movements in intra-area exchange rates are less important than exchange rates vis-à-vis the dollar and the euro. This paper analyzes the impact of exchange-rate and interest-rate volatility on investment and labor markets in the Southern Cone and finds that both volatility against the dollar and the euro and variability of interest rates have significant dampening effects on employment and investment.     

Do interest rate options contain information about excess returns?

There is strong empirical evidence that long-term interest rates contain a time-varying risk premium. Options may contain valuable information about this risk premium because their prices are sensitive to the underlying interest rates. We use the joint time series of swap rates and interest rate option prices to estimate dynamic term structure models. The risk premiums that we estimate using option prices are better able to predict excess returns for long-term swaps over short-term swaps. Moreover, in contrast to the previous literature, the most successful models for predicting excess returns have risk factors with stochastic volatility. We also show that the stochastic volatility models we estimate using option prices match the failure of the expectations hypothesis.     

Term structure estimation in the presence of autocorrelation

This paper assesses the effects of autocorrelation on parameter estimates of affine term structure models (ATSM) when principal components analysis is used to extract factors. In contrast to recent studies, we design and run a Monte Carlo experiment that relies on the construction of a simulation design that is consistent with the data, rather than theory or observation, and find that parameter estimation from ATSM is precise in the presence of serial correlation in the measurement error term. Our findings show that parameter estimation of ATSM with principal component based factors is robust to autocorrelation misspecification.     

Maximum likelihood estimation of partially observed diffusion models

This paper develops a maximum likelihood (ML) method to estimate partially observed diffusion models based on data sampled at discrete times. The method combines two techniques recently proposed in the literature in two separate steps. In the first step, the closed form approach of Aït-Sahalia (2008) is used to obtain a highly accurate approximation to the joint transition probability density of the latent and the observed states. In the second step, the efficient importance sampling technique of Richard and Zhang (2007) is used to integrate out the latent states, thereby yielding the likelihood function. Using both simulated and real data, we show that the proposed ML method works better than alternative methods. The new method does not require the underlying diffusion to have an affine structure and does not involve infill simulations. Therefore, the method has a wide range of applicability and its computational cost is moderate.     

The currency denomination of external European Union imports after European Union expansion

Using a multiple market model I examine the impact of euro expansion on the optimal currency denomination of external EU imports. Results suggest euro invoicing will increase more in the EU-expansion country than in the original EU. Exporting firms from dollar bloc countries (the U.S. or countries with fixed exchange rates with the dollar) are more likely to invoice in the euro if price discrimination is already optimal. Firms from outside the dollar bloc are more likely to use the euro when the original EU market is relatively large or transaction costs of exchanging the euro are relatively small.     

Estimation of multivariate models for time series of possibly different lengths

We consider the problem of estimating parametric multivariate density models when unequal amounts of data are available on each variable. We focus in particular on the case that the unknown parameter vector may be partitioned into elements relating only to a marginal distribution and elements relating to the copula. In such a case we propose using a multi‐stage maximum likelihood estimator (MSMLE) based on all available data rather than the usual one‐stage maximum likelihood estimator (1SMLE) based only on the overlapping data. We provide conditions under which the MSMLE is not less asymptotically efficient than the 1SMLE, and we examine the small sample efficiency of the estimators via simulations. The analysis in this paper is motivated by a model of the joint distribution of daily Japanese yen–US dollar and euro–US dollar exchange rates. We find significant evidence of time variation in the conditional copula of these exchange rates, and evidence of greater dependence during extreme events than under the normal distribution. Copyright © 2006 John Wiley & Sons, Ltd.     

A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation

This paper presents a Bayesian approach to bandwidth selection for multivariate kernel regression. A Monte Carlo study shows that under the average squared error criterion, the Bayesian bandwidth selector is comparable to the cross-validation method and clearly outperforms the bootstrapping and rule-of-thumb bandwidth selectors. The Bayesian bandwidth selector is applied to a multivariate kernel regression model that is often used to estimate the state-price density of Arrow–Debreu securities with the S&P 500 index options data and the DAX index options data. The proposed Bayesian bandwidth selector represents a data-driven solution to the problem of choosing bandwidths for the multivariate kernel regression involved in the nonparametric estimation of the state-price density pioneered by Aït-Sahalia and Lo [Aït-Sahalia, Y., Lo, A.W., 1998. Nonparametric estimation of state-price densities implicit in financial asset prices. The Journal of Finance, 53, 499, 547.]     

Term structure models and the zero bound: An empirical investigation of Japanese yields

When Japanese short-term bond yields were near their zero bound, yields on long-term bonds showed substantial fluctuation, and there was a strong positive relationship between the level of interest rates and yield volatilities/risk premiums. We explore whether several families of dynamic term structure models that enforce a zero lower bound on short rates imply conditional distributions of Japanese bond yields consistent with these patterns. Multi-factor “shadow-rate” and quadratic-Gaussian models, evaluated at their maximum likelihood estimates, capture many features of the data. Furthermore, model-implied risk premiums track realized excess returns during extended periods of near-zero short rates. In contrast, the conditional distributions implied by non-negative affine models do not match their sample counterparts, and standard Gaussian affine models generate implausibly large negative risk premiums.     

Stochastic Jacobian and Riccati ODE in affine term structure models

In affine term structure models (ATSM) the stochastic Jacobian under the forward measure plays a crucial role for pricing, as discussed in Elliott and van der Hoek (Finance Stoch 5:511–525, 2001). Their approach leads to a deterministic integro-differential equation which, apparently, has the advantage of by-passing the solution to the Riccati ODE obtained by the standard Feynman-Kac argument. In the generic multi-dimensional case, we find a procedure to reduce such integro-differential equation to a non linear matrix ODE. We prove that its solution does necessarily require the solution of the vector Riccati ODE. This result is obtained proving an extension of the celebrated Radon Lemma, which allows us to highlight a deep relation between the geometry of the Riccati flow and the stochastic calculus of variations for an ATSM. We are grateful to two anonymous referees for their careful reading of the paper.     

我国国债利率期限结构研究

本文简要地阐述了利率期限结构理论,并对国内外的有关利率期限结构的模型进行了评述。在国内的国债利率期限结构模型的基础上,根据现有的数据,分析了我国国债利率期限结构曲线的变动趋势并提出了预测模型。     

Bayesian Model Selection with an Uninformative Prior*

Bayesian model selection with posterior probabilities and no subjective prior information is generally not possible because of the Bayes factors being ill‐defined. Using careful consideration of the parameter of interest in cointegration analysis and a re‐specification of the triangular model of Phillips (Econometrica, Vol. 59, pp. 283–306, 1991), this paper presents an approach that allows for Bayesian comparison of models of cointegration with ‘ignorance’ priors. Using the concept of Stiefel and Grassman manifolds, diffuse priors are specified on the dimension and direction of the cointegrating space. The approach is illustrated using a simple term structure of the interest rates model.     

Normal mixture GARCH(1,1): applications to exchange rate modelling

Some recent specifications for GARCH error processes explicitly assume a conditional variance that is generated by a mixture of normal components, albeit with some parameter restrictions. This paper analyses the general normal mixture GARCH(1,1) model which can capture time variation in both conditional skewness and kurtosis. A main focus of the paper is to provide evidence that, for modelling exchange rates, generalized two‐component normal mixture GARCH(1,1) models perform better than those with three or more components, and better than symmetric and skewed Student's t‐GARCH models. In addition to the extensive empirical results based on simulation and on historical data on three US dollar foreign exchange rates (British pound, euro and Japanese yen), we derive: expressions for the conditional and unconditional moments of all models; parameter conditions to ensure that the second and fourth conditional and unconditional moments are positive and finite; and analytic derivatives for the maximum likelihood estimation of the model parameters and standard errors of the estimates. Copyright © 2006 John Wiley & Sons, Ltd.     

A quantile-copula approach to dependence between financial assets

This article unveils the dependence structure between United States stock prices, crude oil prices, exchange rates, and U.S. interest rates. In particular, we employ linear and nonlinear estimation methods, such as quantile regression and the quantile-copula approach. Over the 1998–2017 period, we find that there is a positive relationship between the dollar value and the S&P 500 stock price, with the exception of the lower and upper tails of the stock return distribution. Further evidence is obtained on the dependence structure between other asset returns. The stock returns are negatively related to oil prices but positively to U.S. interest rates. Our results highlight the way that financial assets are linked, which have implications for risk management and monetary policy.     

World Economic Prospects Monthly

Overview: A recovery in trade

• ? Our world GDP growth forecasts are unchanged this month, at 2.6% for 2017 and 2.9% in 2018. Similarly, our outlook for inflation has remained stable and we expect consumer price inflation to accelerate to 3.3% in 2017 owing to the effect of higher oil prices. Despite the multi‐year highs shown by global surveys, we remain cautious about further upgrades to our growth forecast, as we believe that the they may be overstating the pace of growth .
• ? Global indicators continue to point to a pick‐up in activity, driven by stronger manufacturing. The global manufacturing PMI remained at its highest level in almost three years in January, while the composite index – which includes services – was at a 22‐month high. Underpinned by stronger manufacturing activity, global trade is also recovering, with trade volumes rising a strong 2.8% on the month in November.
• ? After a disappointing 2016, we expect US growth to rise to 2.3% from an estimated 1.6%, bolstered by the anticipated effects of President Trump's expansive fiscal policies. However, uncertainties around our central forecast are unusually high given the major doubts about the new president's policies. The first days of the Trump administration have shown that he does not intend to tone down his rhetoric and we believe there is risk of a general underestimation of the economic risks derived from protectionism and his anti‐immigration stance.
• ? We still expect two increases in the Federal funds rate this year and US bond yields are likely to continue to rise. Despite some recent dollar weakness, the widening of interest rate differential between the US and the Eurozone, where rates are likely to remain unchanged, will drive the euro down to parity with the US dollar by end‐2017.
• ? Emerging market growth overall will improve in 2017, but performance will differ across countries. Countries with weak balance of payments positions, high dollar debt and exposure to possible US protectionist actions will be at risk. Our research shows that Turkey, South Africa and Malaysia are most at risk from potential financial turmoil.

     

Carry-trades on the yen and the Swiss franc: are they different?

Using monthly data from 1986 to 2009 for 11 major currencies against the U.S. dollar (USD), we find that interest rate differentials between nine of these currencies are generally positive (sample mean of 0.86%) but are strongly negative for Japan (mean of ?2.78%) and for Switzerland (mean of ?2.22%). Investigating empirical models of nominal exchange rate changes we find for all panels that about 2% of real exchange rate misalignments are corrected in the following month. We also find important differences across samples and for the two carry-trade currencies the key results are as follows. First, interest rate differentials have a negative impact on exchange rates: higher paying currencies should appreciate, contrary to the ex-ante uncovered interest rate parity (UIP) condition. We find that this result is very robust to money supply (M1) differentials serving as instrumental variables to inflation rates. In addition, these two currencies depreciate slightly when money supply (M1) differentials increase. Second, dummy variables for periods of market turmoil suggest a particularly strong appreciation of these currencies against the USD, consistent with the unwinding of carry-trade activities.     

A long dollar fall: likelihood and consequences

• ? The dollar has tended to move in long swings over the last forty years, raising the risk that the recent decline could extend considerably further. This is not our base case, but risks do look skewed towards additional dollar weakness. Our modelling work suggests that a large further dollar slide would have significant effects on the pattern of world growth – the US and some emerging markets would gain, with other advanced economies the main losers.
• ? There have been several large multi‐year swings in the dollar over the last four decades. We identify seven such episodes since 1971 including three long declines averaging 31%, the last being in 2002‐08. Since 2017 the dollar has fallen 10%, implying a possible further considerable drop.
• ? Our dollar strength indicator, which covers a range of economic variables associated with dollar moves in the past, does not currently point to a re‐run of the dollar weakness of the 2000s. But we do expect some further near‐term dollar losses and risks to our baseline forecast look skewed to the downside, especially given the emergence of large twin deficits in the US.
• ? Should a further large dollar slump nevertheless occur, our modelling suggests large effects on the pattern of world growth. The main gainers would be commodity‐producing emerging markets (EM) benefitting from improved terms of trade, positive balance sheet and external liquidity effects and scope to ease local interest rates. Rising US yields would erode some of these gains in later years.
• ? The main initial losers would be advanced economies outside the US which would lose competitiveness. In the case of the Eurozone and Japan, undershoots of inflation targets would be likely. There could also be some other negative consequences such as stoking protectionism and creating financial bubbles in some EMs.

     

Do house price developments spillover across euro area countries? Evidence from a global VAR

This paper empirically assesses the prospects for house price spillovers in the euro area, where co-movement in house prices across countries may be particularly relevant given a general trend with monetary union toward increasing linkages in trade, financial markets, and general economic conditions. A global VAR is estimated for three housing demand variables (real house prices, real per capita income, and the cost of borrowing, captured by a real long-term interest rate) on the basis of quarterly data for 7 euro area countries (Belgium, Germany, Ireland, Spain, France, Italy and the Netherlands), which together comprise nearly 90% of euro area GDP, over the period 1971–2009. The results suggest limited house price spillovers in the euro area, albeit with evidence of some overshooting in the first year after the shock, followed by a long run aggregate euro area impact of country-specific changes in real house prices related in part to the country’s economic weight. This contrasts with the impacts of a shock to domestic long-term interest rates, causing a permanent shift in house prices after 2–3 years. Underlying this aggregate development are rather heterogeneous house price spillovers at the country level, with a strong importance for weights – either economic or geographic – in governing their general magnitude. More generally, the impact of financing costs on house prices appears to have grown though time.     

The future of the dollar–euro exchange rate

Monetary unification in Europe is expected to produce a major new international currency, which may compete with the U.S. dollar as the currency of choice in foreign exchange transactions, financial asset markets and central bank reserves. This study considers two important issues regarding the euro: its global role as medium of exchange, unit of account, and store of value and its position relative to the U.S. dollar. Among the main considerations are differences in cyclical behavior, inflation differentials, trade patterns and capital flows, and risk-return assessments. External diversification of private portfolios and of central banks’ reserve holdings will play a key role in determining the euro’s exchange rate. Overall, despite its rough start, we argue that the euro may emerge as a challenger to the U.S. dollar.     

U.S. interest rates and the exchange value of the dollar: A test of causality

This study examines the causal relationship between interset rates and the exchange value of the dollar using Granger causality tests. Cointegration tests show that error correction models are not necessary in this case. The results suggest that the combination of short- and long-term U.S. interest rates, in nominal or real terms, Granger cause the exchange value of the dollar, and that the difference between nominal domestic and foreign rates does not Granger cause the exchange value of the dollar. This result supports the proposition that budget deficits contribute to trade deficits.     

Federal budget deficits and long-term interest rates in USA

We investigate whether the emergence of high inflation rates after 1965 and large budget deficits after 1980s caused the financial market agents to become more sensitive to the outlooks for inflation and budget deficits. Our approach is parametric and our models fully account for possible presence of ARCH effects in the data.Our results show a statistically significant positive link between the budget deficits and the slope of the yield curve which is more pronounced in the later sub-sample period. These results are in line with Reinhard and Sack [Reinhard, V., & Sack, B. (2000). The economic consequences of disappearing government debt. Brooking Papers of Economic Activity, 163–209] but in sharp contrast with Evans [Evans, P. (1985). Do large deficits produce high interest rates? American Economic Review, 7, 68–87] and Evans [Evans, P. (1987). Do budget deficits raise nominal interest rates? Journal of Monetary Economics, 20, 281–300].