Daily news sentiment and monthly surveys: A mixed-frequency dynamic factor model for nowcasting consumer confidence

Policymakers, firms, and investors closely monitor traditional survey-based consumer confidence indicators and treat them as an important piece of economic information. To obtain a daily nowcast of monthly consumer confidence, we introduce a latent factor model for the vector of monthly survey-based consumer confidence and daily sentiment embedded in economic media news articles. The proposed mixed-frequency dynamic factor model uses a Toeplitz correlation matrix to account for the serial correlation in the high-frequency sentiment measurement errors. We find significant accuracy gains in nowcasting survey-based Belgian consumer confidence with economic media news sentiment.     

Eurozone

Following the sharp fall in GDP in Q1, monthly figures show that economic activity collapsed further in April, coinciding with the peak of lockdown measures in most European countries. But more recent data indicates that activity was starting to recover before the end of Q2. After collapsing in March and April, the PMIs rose strongly for a second consecutive month in June, suggesting that economic conditions may be returning towards normal. Meanwhile, sentiment indicators continue to improve, driven by a rise in forward-looking expectations as investors anticipate a deep but shortlived recession.     

Monetary policy,exchange rates and labor unions in SEE and the CIS during the financial crisis

The objective of this paper is to assess whether the levels of unionization and the rigidity of exchange rates represent a constraint for the monetary policy in South-Eastern Europe and the Commonwealth of Independent States, with a particular focus on the recent economic crisis. Toward that end, a New Keynesian model with price and wage rigidities is used. The results show that monetary policy responded counter-cyclically during the crisis only in countries with weak trade unions and in countries with flexible exchange rates, which indicates that fixed exchange rates and strong trade unions constrain monetary policy in countries in these regions. Also, the findings show that the main driver of price inflation in these countries is not economic activity, but wages, which are affected to a large extent by trade unions. Therefore, trade unions should be active partners in the decision-making processes in these countries.     

News sentiment,credit spreads,and information asymmetry

This paper examines how the sentiment of firm-specific news affects CDS spreads conditional on the degree of information asymmetry. Using a large set of news releases, we document a strong negative relationship between the sentiment of firm-specific news and CDS spreads. More importantly, consistent with the role of public news in reducing information asymmetry, we find evidence that the relation between news sentiment and CDS spreads is stronger for firms with higher information asymmetry. Furthermore, the relation is stronger for news with negative sentiment and during the 2008 financial crisis. Our results are robust to alternative sentiment measures.     

The impact of sentiment and attention measures on stock market volatility

We analyze the impact of sentiment and attention variables on the stock market volatility by using a novel and extensive dataset that combines social media, news articles, information consumption, and search engine data. We apply a state-of-the-art sentiment classification technique in order to investigate the question of whether sentiment and attention measures contain additional predictive power for realized volatility when controlling for a wide range of economic and financial predictors. Using a penalized regression framework, we identify the most relevant variables to be investors’ attention, as measured by the number of Google searches on financial keywords (e.g. “financial market” and “stock market”), and the daily volume of company-specific short messages posted on StockTwits. In addition, our study shows that attention and sentiment variables are able to improve volatility forecasts significantly, although the magnitudes of the improvements are relatively small from an economic point of view.     

Can crude oil drive the co-movement in the international stock market? Evidence from partial wavelet coherence analysis

In this paper, we employ partial- and multiple-wavelet coherence analyses to examine co-movement between international stock markets by considering the influence of crude oil in a time domain perspective. Overall, we find that crude oil is a major factor driving co-movement between international stock markets in the median and long term. However, when considering the oil-importing and oil-exporting countries differently, we still find that crude oil is a driver for interdependence between oil-importing and oil-exporting countries. In contrast, the crude oil has relative lower impact on the co-movement in oil-importing or in oil-exporting countries, which indicates its co-movement is caused by other factors. In addition, Gulf Cooperation Council stock market may lead the stock markets of oil-importing countries in the long term. Our empirical results provide meaningful information for investors and policymakers.     

Diversification discount and investor sentiment

While previous research has linked the diversification discount to suboptimal managerial decisions, recent empirical work and methods have shown these relationships are not as strong. A rational learning framework indicates the diversification discount is related to economic activity. Building on this framework, we test and find support for the hypothesis that investor sentiment explains the diversification discount. Investor sentiment favors riskier firms when sentiment is high, thereby increasing returns and relative valuations. As a result, diversified firms imputed value based on these multiples leads to a larger diversification discount and reverses when sentiment falls.     

国际垂直专业化的测量及差异分析

根据Hummels et al.Hummels al.(2001)的国际垂直专业化指数,采用中国的投入产出表,从承接国(或地区)视角,测量中国27个工业行业1997-20111997 2011年的国际垂直专业化程度,并借鉴北京大学中国经济研究中心课题组(2006)的方法,测算中国与OECD国家和非OECD国家(或地区)的国际垂直专业化程度。研究结果表明:加入WTO后,中国的国际垂直专业化程度上升较快,分行业来看,资本密集型行业(包括技术密集型行业)的国际垂直专业化程度得到较快提升,而劳动密集型行业的国际垂直专业化程度较低;分伙伴国(或地区)来看,中国与OECD国家的垂直专业化程度更高,主要是高技术密集型行业,但是中国与非OECD国家(或地区)各行业的垂直专业化程度上涨幅度较大,尤其是资本密集型行业。     

The COVID-19 pandemic uncertainty,investor sentiment,and global equity markets: Evidence from the time-frequency co-movements

We use daily data of the Google search engine volume index (GSVI) to capture the pandemic uncertainty and examine its effect on stock market activity (return, volatility, and illiquidity) of major world economies while controlling the effect of the Financial and Economic Attitudes Revealed by Search (FEARS) sentiment index. We use a time–frequency based wavelet approach comprising wavelet coherence and phase difference for our empirical assessment. During the early spread of the COVID-19, our results suggest that pandemic uncertainty, and FEARS sentiment strongly co-move, and increased pandemic uncertainty leads to pessimistic investor sentiment. Furthermore, our partial wavelet analysis results indicate a synchronization relationship between pandemic uncertainty and stock market activities across G7 countries and the world market. Our results are robust to the inclusion of alternative pandemic fear measure in the form of equity market volatility infectious disease tracker. The pandemic uncertainty and associated sentiment implications could be one plausible reason for increased volatility and illiquidity in the market, and hence, policymakers should look upon this issue for the financial market stability perspective.     

Happiness sentiments and the prediction of cross-border country exchange-traded fund returns

This research examines whether social media (Twitter) happiness sentiment and country-level happiness sentiment indices predict cross-border ETF returns. To account for complicated associations between happiness sentiment and ETF returns, we use a quantile regression approach and find that Twitter and trading market (U.S.) happiness sentiments are strong predictors of future ETF returns, for which both have far greater predictive power than those of their home countries. Home country happiness indices exhibit asymmetric impacts across quantiles, suggesting the importance of trading country (U.S.) and Twitter happiness sentiments. Higher U.S. and home countries’ freedom to make life choices, absence of corruption perception, and confidence in national government precede higher ETF returns, while U.S. GDP, social support, health life expectancy, positive affect, and negative affect precede lower (abnormal) returns. We find that higher return quantile country ETFs provide a safe haven for U.S. investors during a U.S. bear market.     

Religion and International Trade: Does the Sharing of a Religious Culture Facilitate the Formation of Trade Networks?

A bstract .   Despite interest in the influence of religion on economic activity by early economists like Adam Smith, modern economists have done little research on the subject. In light of the apparent religious fervor in many parts of the global economy, economists' seeming lack of interest in studying how religious cultures enhance or retard the globalization of economic activity is especially surprising. This article makes a contribution toward filling this void by examining how religion affects international trade. Specifically, we examine whether the sharing of religious cultures enables the formation of exchange networks that can overcome the failure or nonexistence of other social and economic institutions necessary for completing complex international transactions. We apply an expanded gravity model of international trade to control for a variety of factors that determine trade, and we use two recently developed regression methods, scaled OLS and nonlinear least squares, to exploit the model to its fullest. We find that the sharing of Buddhist, Confucian, Hindu, Eastern Orthodox Catholic, and Protestant cultures by people in different countries has a significantly positive influence on bilateral trade, all other things equal. The sharing of Roman Catholic culture has a significantly negative influence on bilateral trade, and the sharing of Islamic and Judaic cultures neither promotes nor discourages international exchange. These results suggest that some religious cultures are more conducive than others for forming international trade networks.     

The effects of external and internal shocks on total factor productivity

This paper examines structural changes that occur in the total factor productivity (TFP) within countries. It is possible that some episodes of high economic growth or economic decline are associated with permanent productivity shocks; therefore, this research has two objectives. The first one is to estimate the structural changes present in TFP for a sample of 77 countries between 1950 (1960) and 2000. The second one is to identify possible explanations for breaks. Two sources were analyzed: (i) episodes in political and economic history; (ii) changes in international trade – a measure of absorption of technology. The results suggest that about one-third of the TFP time-series present at least one structural break. Downwards breaks are more common, indicating that after a break the TFP has much difficulty to recover. When we investigated factors related with structural change, developed countries presented a break near the first oil shock while the developing countries’ breaks are more spread along the decades. Thus, external strikes seem to be more relevant for developed countries. However, for each country and break date, it was possible to find an event close to the break date endogenously detected. Last, the relevance of international trade, measured by trade share percentage of GDP, seems to be limited to explain abrupt changes in TFP.     

Corruption, Growth, and Income Distribution: Are there Regional Differences?

This paper uses panel data from 61 countries at different stages of economic development over a 20-year period to investigate regional differences in the effect of corruption on economic growth and income distribution. Using two measures of corruption, we find that there are statistically significant regional differences in the growth and distributional impacts of corruption. The largest growth impact of corruption is found in African countries while OECD and Asian countries have the lowest growth impact. On the other hand, the largest distributional impact of corruption in found in Latin America. A 10% decrease in corruption increases the growth rate of income by about 1.7% in OECD and Asian countries, 2.6% in Latin American countries, and by 2.8% in African countries. A one standard deviation decrease in corruption decreases the gini coefficient of income distribution (0–1 scale) by 0.05 points, 0.14 points, 0.25 points, and 0.33 points in OECD, Asian, African, and Latin American countries, respectively. The results are robust to various specifications, measurement of corruption, measures of investment, as well as the conditioning variables. The results have interesting policy implications for economic growth, especially in low income countries with high rates of corruption.     

Twitter’s daily happiness sentiment,economic policy uncertainty,and stock index fluctuations

This research applies quantile Granger causality and impulse-response analyses to evaluate the causal linkages among Twitter’s daily happiness sentiment, economic policy uncertainty (EPU), and S&P 500 indices across the U.S. stock market cycles. We present notable evidence of bi-directional causality among cyclical components of Twitter’s daily happiness sentiment, economic policy uncertainty, and S&P 500 indices for most quantiles. The causal linkage of Twitter’s daily happiness sentiment and S&P 500 indices identified in this study reconciles the so-called Easterlin Paradox and Easterlin Illusion arguments from previous studies on income-happiness relationship. Moreover, given a high (low) EPU level, the positive (negative) impulse-response effects between the Twitter’s daily happiness sentiment and the S&P 500 indices are justified during a stock market bust cycle, but the signs of these correlations change to negative (positive) during a stock market boom cycle. These findings imply that investors’ hedging strategies can be linked to the surveillance of the Twitter’s daily happiness sentiment index.     

How accurate are government forecasts of economic fundamentals? The case of Taiwan

A government’s ability to forecast key economic fundamentals accurately can affect business confidence, consumer sentiment, and foreign direct investment, among others. A government forecast based on an econometric model is replicable, whereas one that is not fully based on an econometric model is non-replicable. Governments typically provide non-replicable forecasts (or expert forecasts) of economic fundamentals, such as the inflation rate and real GDP growth rate.In this paper, we develop a methodology for evaluating non-replicable forecasts. We argue that in order to do so, one needs to retrieve from the non-replicable forecast its replicable component, and that it is the difference in accuracy between these two that matters. An empirical example to forecast economic fundamentals for Taiwan shows the relevance of the proposed methodological approach. Our main finding is that the undocumented knowledge of the Taiwanese government reduces forecast errors substantially.     

金融危机下自由贸易与贸易保护的选择

随着国际金融危机的蔓延与扩展,贸易保护主义也开始抬头,一些国家纷纷采取贸易保护措施。本文根据应对世界经济危机的历史经验和教训,同时运用国际贸易的比较优势原理,分析了在当前国际金融危机下,贸易保护主义将引发国际经济贸易的恶性循环,加剧全球经济的严重衰退,而自由贸易则是各国应对国际金融危机的正确选择。     

Socio-demographics,political attitudes and informal sector employment: A cross-country analysis

In this paper, we empirically investigate the relationship between informal sector employment and micro-level socio-demographic characteristics, political acts and attitudes, and individual norms. Using self-reported individual micro-level data from the World Values Survey for seven developing countries (China, Ecuador, Egypt, Mexico, Peru, South Africa and Yemen), our cross-country regressions and principal component analysis reveal that socio-demographic characteristics of individuals are strong predictors of their informal sector employment. Our estimations further document that individual preferences for an economically strong, interventionist and egalitarian state and confidence in state and political institutions are positively and significantly correlated with informal sector employment, whereas variables associated with confidence in free market institutions and support for competition are negatively and significantly correlated with informal sector employment. We also show that individuals who participate either actively or inactively in peaceful and lawful political processes are significantly less likely to work in the informal sector. Finally, we document that individual norms, such as religiosity and tax morale, are negatively correlated with informal sector employment. Throughout our analysis, instead of having to rely on ad-hoc informality categorizations of third parties, we base our measurement of informal sector employment directly on the self-evaluation of individuals, who have the best information on the degree of their informality.     

Has transition improved well-being?

In this paper we examine trends in economic well-being in transition countries from 1988 to 2008 to determine whether the populations of transition countries are better off today than prior to the transition process. To do this, we examine economic performance, inequality-adjusted well-being measures, subjective well-being measures, and non-income dimensions of well-being. While for many of the transition countries some indicators of well-being show improvements compared to the pre-transition period, the sharp rise in inequality and low levels of social indicators and subjective well-being suggest that well-being in many countries is similar to, or even below, the levels experienced prior to transition. The only indicators which have shown consistent improvements are measures of political and civil liberties.     

Factors affecting delinquency of household credit in the U.S.: Does consumer sentiment play a role?

In this study, we provide both theoretical and empirical evidence on the determinants of household loan delinquency for home ownership, credit card and auto loans for the U.S. states in a panel framework over a period from 2003 through 2017. In particular, we examine the impact of consumer sentiments on loan delinquency rates. We show that improved current consumer sentiment significantly induce lower mortgage, credit card and automobile loan defaults in the American states subdivided into four different regions. We also find that the higher overall and expected consumer sentiment raise loan delinquencies. Implicit in this finding is the apparently excessive and inappropriate expansion of loans in the U.S. economy in the face of consumers’ optimism, which in turn, provides an intuitive understanding of the circumstances that could precede a depression or outbreak of anomalies in the financial sector. Our general findings further exhibit significant positive effect of unemployment rate and mostly adverse effect of per capita income on mortgage and automobile loan delinquency rates. The results provide some compelling evidence with regard to the effect of consumer confidence on household credit delinquency rates across various states in the U.S. and are robust to alternative measures of income and mortgage rates.