Foreign currency debt, risk premia and macroeconomic volatility

This paper studies the relationships between foreign currency debt, macroeconomic volatility, and risk premia in a model of a small open emerging market economy. The external value of the local currency is counter-cyclical, so that foreign currency debt requires larger repayments than local currency debt in bad states of nature. The level of foreign currency-denominated debts, therefore, affects the volatility of aggregate demand and by extension of the exchange rate. Exchange rate volatility is in turn an important determinant of the risk premium on local currency debt. Finally, this risk premium is a major factor in the choice of local versus foreign currency for emerging market borrowers. The mutual endogeneity of foreign currency debt, risk premia, and macroeconomic volatility creates important feedback effects in the economy: small increases in international risk aversion may entail large amplification effects on macroeconomic volatility since domestic borrowers substitute towards cheaper but riskier foreign currency debt finance.     

Comparing post-crisis dynamics across Euro Area countries with the Global Multi-country model

Following the global financial crisis, the Euro Area (EA) has experienced a persistent slump and notable trade balance adjustments, but with pronounced differences across EA Member States. We estimate a multi-country structural macroeconomic model to assess and compare the main drivers of GDP growth and trade balance adjustment across Germany, France, Italy, and Spain. We find that the pronounced post-crisis slump in Italy and Spain was mainly driven by positive saving shocks (‘deleveraging’) and by an increase in investment and intra-euro risk premia. Fiscal austerity in Spain and the productivity slowdown in Italy have been additional sizable contributors to the economic downturn. The results further suggest that euro depreciation, heightened intra-euro risk premia and subdued investment had a sizable impact on the trade balance reversals in Italy and Spain, which has been offset in France by a strong increase in imports and lower exports.     

Bond risk premia, macroeconomic fundamentals and the exchange rate

We propose a two-country no-arbitrage term-structure model to analyze the joint dynamics of bond yields, macroeconomic variables and the exchange rate. The model allows to understand how exogenous shocks to the exchange rate affect the yield curves, how bond yields co-move in different countries and how the exchange rate is influenced by interest rates, macro-economic variables and time-varying bond risk premia.Estimating the model with US and German data, we find that time-varying bond risk premia account for a significant portion of the variability of the exchange rate: apparently, a currency tends to appreciate when investors expect large capital gains on long-term bonds denominated in that currency. A number of other novel empirical findings emerge.     

Bond risk premia,macroeconomic fundamentals and the exchange rate

We propose a two-country no-arbitrage term-structure model to analyze the joint dynamics of bond yields, macroeconomic variables and the exchange rate. The model allows to understand how exogenous shocks to the exchange rate affect the yield curves, how bond yields co-move in different countries and how the exchange rate is influenced by interest rates, macro-economic variables and time-varying bond risk premia.Estimating the model with US and German data, we find that time-varying bond risk premia account for a significant portion of the variability of the exchange rate: apparently, a currency tends to appreciate when investors expect large capital gains on long-term bonds denominated in that currency. A number of other novel empirical findings emerge.     

Daily market news sentiment and stock prices

In recent years there has been a tremendous growth in readily available news related to traded assets in international financial markets. This financial news is now available through real-time online sources such as Internet news and social media sources. The increase in the availability of financial news and investor’s ease of access to it has a potentially significant impact on market stock price movement as these news items are swiftly transformed into investors sentiment which in turn drives prices. In this study, we use the Thomson Reuters News Analytics (TRNA) data set to construct a series of daily sentiment scores for Dow Jones Industrial Average (DJIA) stock index constituents. We use these daily DJIA market sentiment scores to study the influence of financial news sentiment scores on the stock returns of these constituents using a multi-factor model. We augment the Fama–French three-factor model with the day’s sentiment score along with lagged scores to evaluate the additional effects of financial news sentiment on stock prices in the context of this model using Ordinary Least Square (OLS) and Quantile Regression (QR) to analyse the effect around the tail of the return distribution. We also conduct the analysis using the seven-day simple moving average (SMA) of the scores to account for news released on non-trading days. Our results suggest that even when market factors are taken into account, sentiment scores have a significant effect on Dow Jones constituent returns and that lagged daily sentiment scores are often significant, suggesting that information compounded in these scores is not immediately reflected in security prices and related return series. The results also indicate that the SMA measure does not have a significant effect on the returns. The analysis using Quantile Regression provides evidence that the news has more impact on left tail compared to the right tail of the returns.     

Effects of asset purchases and financial stability measures on term premia in the euro area

We study the effects of the announcements of ECB asset purchases and of financial stability measures in the euro area in the wake of the global financial crisis and the euro area sovereign debt crisis on 10-year government bond term premia in 11 euro area countries. We find that the term premia of euro area countries with higher sovereign risk, as measured by sovereign CDS spreads, decreased more in response to the announcements of asset purchases and financial stability measures. Term premia of countries with lowest sovereign risk either increased as in Germany, or were not significantly affected or fell slightly, as in the Netherlands and Finland.     

Systemic Characteristics of Financial Instability

I describe how in the new paradigm of a Competitive, Efficient, and Frictionless Economy (CEFE), introduced in Falahati (2019), macroeconomic imbalances with fluctuating levels of liquidity emerge endogenously. This provides a solid foundation for studying Minsky’s views on financial instability in an economy with a banking and risk-underwriting system. I identify an inverse relationship between liquidity premia and risk premia, which leads to endogenous risk-premium rating cycles, including credit-risk-premium rating cycles, and macroeconomic swings. Ceteris paribus, lower liquidity increases the prices of contracts covering risks (e.g., credit default swaps), whist it decreases prices of all other assets. The opposite occurs with higher liquidity. I analyze operations of banks, risk-underwriters, and the State/Central Bank, and present a new theory of banking which improves current understandings. This theory explains how a banking system uses the floating capital of the economy more efficiently, while it also generates greater systemic risks, compared to an economy without banks. I show how the banking system can induce macroeconomic booms and busts and generate endogenous asset price bubbles and bursts. I highlight other systemic problems of the economy and derive their implications for improving the financial management of the economy and its institutions.     

Macroeconomic variables and the sovereign risk premia in EMU,non-EMU EU,and developed countries

This project studies and models key macroeconomic variables and their impact on sovereign risk premia across select European economies and developed countries. The sample is divided into three groups of countries: those in the European Monetary Union (EMU); the standalone economies outside the EMU but members of the broader European Union (EU); and other developed economies. The main subject of examination across all three groups is the impact of macroeconomic variables on sovereign borrowing costs. EU countries have experienced high financial stress and a rapid rise in the credit default swaps (CDS) spreads during the EMU debt crisis. A nonlinear vector smooth transition autoregressive model is applied to investigate such a regime change in the finance-output link using sovereign CDS and industrial production index. The paper finds that regime-switching takes place rather suddenly in most EMU countries. The study concludes that due to the potential spillover effects in the EU as a whole, the individual country macroeconomic indicators were less reflected in the financial stress and spillover and contagion effects became dominant.     

The nonlinear multidimensional relationship between stock returns and the macroeconomy

We use nonparametric dimension-reduction methods to extract from a set of 15 macroeconomic variables the risk factors that are priced in the stock market. The dominant factor moves with the business cycle but, because it is a nonlinear function of observed macroeconomic variables, it captures a rich set of interactions. Low-credit risk and low-inflationary expectations have a greater positive effect on stock returns when leading macroeconomic indicators are high relative to current economic activity, i.e. early in the business cycle as the economy emerges from recession. High-stock returns also arise in periods when the economy is booming relative to its leading indicators, but such periods tend to portend crashes.     

Investor sentiment and the prediction of stock returns: a quantile regression approach

We employ quantile regression to provide a detailed picture of the stock return forecasting ability of investor sentiment. We find that investor sentiment predicts aggregate stock returns at lower quantiles. However, the forecasting power is lost at upper quantiles. The results are robust after controlling for a comprehensive set of macroeconomic and financial predictors and for characteristic portfolios. We also show that investor sentiment consists mainly of cash flow news and contains little information about discount rate news. The ability to forecast cash flows increases gradually from the lower quantiles to upper quantiles. Our results do not support that the ability of investor sentiment to predict stock returns comes from a rational forecast of future cash flows.     

The macroeconomic drivers in hedge fund beta management

We investigate how macroeconomic indicators alter the dynamic risk exposure of different hedge fund style strategies. We implement a multifactor model to estimate the unobservable time-varying risk exposure conditional on macroeconomic information and a VAR to measure the impact of macroeconomic predictors on different time horizons. Using monthly returns on a cross-section of 10 different style indices from February 1997 to August 2019, we find that, on average, macroeconomic indicators explain approximately 30%, 55%, and 75% of the variability of betas at 1-, 6-, and 36-month horizons, respectively. Although macroeconomic predictors play a critical role at every horizon, at 1 month, the dominating effect comes from idiosyncratic shocks, which indicates that in the short run, hedge fund managers rely mostly on their own reallocation signals. Moreover, consistent with the fundamental drivers of the smart beta factors, we find that the interest rate level and GDP growth similarly impact hedge fund exposures across styles.     

Financial integration and the term structure of interest rates

This paper presents a model of the term structure for an open economy. A flexible VAR approach is used to model macroeconomic growth, inflation, short rate and the yield spread. Then the term structure is built given restrictions implied by the no-arbitrage condition. Contrary to previously proposed macrofinance models of the term structure, the model suggested here explicitly accounts for financial and real spillovers between economies. As documented in the paper, foreign macroeconomic factors contain a lot of information about the domestic term structure of yields. Put to data, the model explains the dynamics of yields very well. It provides better out-of-sample forecasting results than the closed economy models. Openness induces more variability in the estimated term premia of yields with shorter maturities.     

Reuters Sentiment and Stock Returns

Sentiment from more than 3.6 million Reuters news articles is tested in a vector autoregression model framework on its ability to forecast returns of the Dow Jones Industrial Average stock index. We show that Reuters sentiment can explain and predict changes in stock returns better than macroeconomic factors. We further find that negative Reuters sentiment has more predictive power than positive Reuters sentiment. Trading strategies with Reuters sentiment achieve significant outperformance with high success rates as well as high Sharpe ratios.     

Macroeconomic expectations and consumer sentiment during the COVID-19 pandemic: The role of others’ beliefs

This paper investigates the effect of information about cross-country ratings of the government’s and the public’s reaction to the COVID-19 pandemic on consumers’ macroeconomic expectations and sentiment. We conduct consumer surveys with randomized control trials (RCTs) in two waves in Thailand and Vietnam. The information treatments have the strongest effect when the information shown contradicts consumers’ prior beliefs. In the first survey, conducted when the first lockdown was eased, treatment effects are stronger in Vietnam, causing more optimistic expectations and sentiment. In the second survey, conducted at the start of the second wave of infections, treatment effects are stronger in Thailand, causing a more pessimistic outlook.     

Modelling risk premia in CO2 allowances spot and futures prices

This article analyzes the modelling of risk premia in CO₂ allowances spot and futures prices, valid for compliance under the EU Emissions Trading Scheme (EU ETS). Similarly to electricity markets, a salient characteristic of CO₂ allowances is that the theory of storage does not hold, as CO₂ allowances only exist on the balance sheets of companies regulated by the scheme. The main result features positive time-varying risk premia in CO₂ spot and futures prices, which are strictly higher for post-2012 contracts (€6–9/ton of CO₂) than for Phase II contracts (€0–6/ton of CO₂). Contrary to Benth et al.'s (2008) for electricity markets, a positive relationship between risk premia and time-to-maturity is found in the EU ETS. As for relative differences between CO₂ futures and spot prices, CO₂ futures traded between + 1% (December 2008 contract) and + 33% (December 2014 contract) above spot prices during February 2008–April 2009. Contrary to Bessembinder and Lemmon (2002) for the electricity market, a positive relationship between risk premia and the variance/skewness of CO₂ spot prices is found. The futures-spot bias to the EU ETS explains around 1–6% of the variance of CO₂ futures premia.     

The expectations hypothesis, term premia, and the Canadian term structure of interest rates

In this paper monthly data are used over the period 1960:7 to 1995:12 to examine the determinants of term premia implicit in the Canadian T-bill term structure of interest rates. In sharp contrast to U.S. evidence, the conditional variances of Canadian macroeconomic variables are found to be insignificant predictors of term premia in the Canadian T-bill term structure. The conditional variances of U.S. macroeconomic variables, however, are found to be important determinants of Canadian term premia. JEL Classification: E43, G1
L'hypothese des anticipations, les primes de temps et la structure temporelle des taux d'intérêt canadiens. Ce mémoire utilise des données mensuelles de juillet 1960 à décembre 1995 pour examiner les déterminants des primes de temps implicites dans la structure des taux d'intérêt pour les bons du trésor canadiens. Contrairement à ce que l'on trouve aux Etats-Unis, il semble que les variances conditionnelles des variables macroéconomiques canadiennes ne sont pas des prédicteurs utiles de ces primes. Cependant, il appert que les variances conditonnelles des variables macroéconomiques des Etats-Unis sont des déterminants importants de ces primes.     

Forecasting the Consumer Confidence Index with tree-based MIDAS regressions

The macroeconomic literature has recently uncovered the importance of the consumer confidence variations at driving business cycles. However, it remains a challenge to predict changes in agents'confidence by exploiting the information from ultra high-frequency sentiment data extracted from social media. Based on the mixed data sampling (MIDAS) literature, we propose a new MIDAS method that introduces regression tree-based algorithms into the MIDAS framework. Our method is more flexible at sampling high-frequency lagged regressors compared to existing MIDAS models with tightly parametrized functions of lags. In an out-of-sample forecasting exercise for the Consumer Confidence Index, our results reveal that (i) the proposed procedure exploits more fully the information from historical sentiment data and (ii) our method substantially improves the forecast accuracy and confirms the role of social media at affecting the consumer confidence.     

Comparing risk aversion in a probability triangle

An agent's acceptance set consists of the probability distributions preferred to the status quo. One agent is more risk averse than another if the more risk averse agent's acceptance set is a proper subset of the less risk averse agent's acceptance set. An agent's odds premium expresses the odds in favor of winning the largest cash prize in a lottery over the best and worst alternatives that is indifferent to the the agent's initial wealth. Comparisons of two agents odds premia completely characterizes the risk aversion relations between them when facing lotteries in a probability triangle. The result applies to expected utility and some non-expected utility theories. Received: December 30, 1998; revised version: February 10, 1999     

Expected risk and excess returns predictability in emerging bond markets

This study examines the predictability of expected excess returns from eight emerging bond markets within an international asset pricing framework. Two sets of instruments are used, which include both world and local factors, to forecast emerging bond returns. Besides investigating the influence of the macroeconomic factors in specific countries on bond returns in those countries, this study also divides local factors into macroeconomic and financial factors. Unlike previous studies, we apply macroeconomic instruments that contain more information on excess returns as a proxy for local risk factors via principal component analysis methodology. The information variable approach enables the prediction of excess bond returns based on world and local factors and facilitating understanding of the degree of integration between emerging bond markets and developed bond markets. The results indicate that the bond market in emerging world is partially integrated to that in the developed world and the predictability of local factors that include both financial and macroeconomic information variables can forecast around 25–66% of the returns of emerging bonds. Incorporating the macroeconomic variables increases the explanatory power of the model. Both world and country-specific local instruments can forecast excess bond returns, but local instruments appear to be better predictors of such returns, particularly the local credit spread to US. Additionally, this study finds that investor risk aversion is significant among most of sample countries.     

A Rotated Dynamic Nelson‐Siegel Model

I show how to rotate the factor structure of the well‐known Dynamic Nelson‐Siegel yield‐curve model to enable direct parametrization of the short rate process. This makes it easy to calculate model‐implied term premia and to integrate macroeconomic variables into the model in a Taylor‐rule‐type fashion.