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This chapter examines the impacts of scheduled announcements of 14 widely followed macroeconomic news on the corporate bond market from July 2002 to June 2017 and documents several new findings. First, good (bad) macroeconomic news tends to have a negative (positive) effect on IG bond returns and a positive (negative) effect on high-yield (HY) bond returns. Second, nonfarm payroll (NFP) appears to be the “King of announcements” for the corporate bond market. Third, while information about revisions of prior releases is incorporated into bond prices on announcement days, future revisions fail to be priced in. Fourth, the news information is thoroughly and quickly reflected in bond prices on the announcement day. Finally, corporate bond volatility increases on announcement days, whereas the Zero Lower Bound (ZLB) policy has little effect on conditional volatility.

The purpose of this paper is to investigate the spillover effect of the US macroeconomic news on the first two moments of the Vietnamese stock market returns.

The author collected market expectation and actual announcements data for 12 key US macroeconomic announcements for the period from August 2000 to September 2009 from Bloomberg. The dataset consists of monthly Non‐farm payroll (NFPM), Unemployment level (UNEMP), Gross Domestic Product percentage level (GDP), Housing statistics (HOMEST), Industrial production (INDP), Leading Indicator (LEAD), Retail Sales (SALES), Consumer Price Index (CPI), Producer Index (PPI), Current Account (CA, quarterly), Trade Balance (BOT), and the Federal Reserve's target rates (FOMC, 8 times a year and ad hoc meetings if needed). The MA‐EGARCH (1,1) model is used for the empirical test of the US macroeconomic news spillover effects on the VNI index.

In general, the US real economic news has the strongest effect on the first two moments of the Vietnamese stock returns. This can be interpreted as evidence that Vietnamese market participants believe that the USA is targeting real economic activities other than other variables. It is also shown that even though the US stock market (proxied by S&P500 index) significantly affects the Vietnamese stock market returns, the spillover effect of the US macroeconomic news is still significant.

The author does not explore further on the transmission channels of the spillover effects of the US news on the Vietnamese stock market, reserving this task for future research.

The paper contributes to the extant literature in several ways. First, to the author's knowledge, the current literature lacks empirical evidence for the impact of the US macroeconomic news on the first two moments of the Vietnamese stock markets. Given the growing integration between the two economies, evidenced by the fact that the USA is Vietnam's largest foreign direct investor and importer, the US macroeconomic news is very important, not only for Vietnamese policy makers but also for market participants. Furthermore, the choice of a small and open market with increasing exposure to the world economy and vulnerable to the US news (i.e. Vietnam) would help in reducing the problem of endogeneity bias in previous studies employing large economy pairs, as the US news might affect the Vietnamese stock market but not the reverse. Finally, previous studies tend to investigate the impact of macro news only on conditional returns. In this study, both conditional returns and the conditional variance of returns are modelled simultaneously in a time‐varying framework (MA‐GARCH) to better capture the impact of macroeconomic news on stock returns and stock market volatility.

This paper examines the clustering of return volatility within industries by comparing the short‐run responses of stock returns to the arrival of macroeconomic news across several industries. We hypothesize that some industries have distinctive qualities which influence the sensitivity of companies’ equity value to information releases. To test this hypothesis, we sample intraday stock price data of ten firms from three industries ‐ General Industry, Banking, and Real Estate Trusts ‐ and conduct the Brown‐Forsythe‐Modified Levene tests. The evidence shows that there exist different degrees of responses to the release of macroeconomic news and consequently different degrees of return volatility clustering: strongest in General Industry, less strong in Banking, and weak in Real Estate Investment Trusts.

This paper aims to investigate the spillover effect of 14 US key macroeconomic news on the first two moments of 12 Asian stock market returns.

The authors collect market expectation and actual scheduled announcements data for 14 key US's macroeconomic announcements from January 2002 to April 2012 from Bloomberg. The dataset consists of six groups: monetary policy and general macroeconomic indicators: the Federal Reserve's target interest rates (FOMC), gross domestic product (GDP), and leading indicator (LI); price indicators: consumer price index (CPI) and producer price index (PPI); business indicator: housing starts (HS) and industrial production (IP); consumption indicators: retail sales (RS) and consumer confidence level (CONSUM); labor market indicators: non-farm payroll (NFP), unemployment level (UE), and jobless claim (JOB); and external sector indicators: current account (CA) and trade balance (TB). The authors also collect daily opening and closing data of 12 Asian stock markets. Following Dow Jones classification, the authors divide them into two groups: five developed markets (Japan, Hong Kong, Republic of Korea, Singapore and Taiwan), and seven emerging markets (China, India, Indonesia, Malaysia, Pakistan, Sri Lanka, and Thailand). The MA-EGARCH (1,1) model is used for the empirical test.

First, the authors find that stronger than expected news from the USA is associated with higher conditional mean and lower conditional variance of the Asian stock market returns, in general. Second, the Asian stock markets tend to put more weight on information relating to the US labor market than the other news as this indicator reveals much information about the underlying health of the US economy since full employment is the most important mandate for the US administration and policy makers. Third, in responding to the US news, the Asian emerging markets seem to respond stronger to the US news than the Asian developed markets both in terms of the number of responses and the magnitude of the reaction. This suggests that this could be seen as evidence that emerging markets are more dependent on the information content of the US news than the developed markets. Fourth, the US news is absorbed gradually leading to persisting volatility responses in the Asian stock markets.

The authors fill a gap in the extant literature in investigating the speeds of the news absorption across the Asia region by examining the spillover effects across three time horizons, namely daily, overnight and intraday.

A vector autoregression model estimated on US data before and after 1980 documents systematic differences in the response of short- and long-term interest rates, corporate bond spreads and durable spending to news total factor productivity shocks. Interest rates across the maturity spectrum broadly increase in the pre-1980s and broadly decline in the post-1980s. Corporate bond spreads decline significantly, and durable spending rises significantly in the post-1980 period while the opposite short-run response is observed in the pre-1980 period. Measuring expectations of future monetary policy rates conditional on a news shock suggests that the Federal Reserve has adopted a restrictive stance before the 1980s with the goal of retaining control over inflation while adopting a neutral/accommodative stance in the post-1980 period.

This study examines whether the current virus pandemic (COVID-19) has any significant negative effect on returns series of selected stock markets in the developed, Asian and GCC countries. For this purpose, the EGARCH (1, 1) model and the News Impact Curve (NIC) are applied to examine the persistence of symmetric volatility, leverage-effect and inducing volatility by preceding bad or good news. The findings suggest that the volatility is persistent in all stock markets, but it is under unity for many stock markets, which means the volatility will persist for the short term in most cases. Furthermore, the findings of asymmetric volatility analysis indicate the presence of leverage-effect over the study period in all the selected stock markets except Japan, Indonesia and Hong Kong. However, NIC plots provide evidence that the negative shock (news) of the COVID-19 outbreak would put forward a higher volatility on all selected stock market returns in the near future, except for the stock markets in Thailand, Japan and Singapore, where the shocks (positive) suggest a higher subsequent period of conditional variance compared to the current shocks (negative) of the COVID-19 pandemic. Consequently, understanding the volatility structure of stock market returns is imperative for policy guidance among the policymakers and potential investors. For policymakers, as the volatility caused by the COVID-19 outbreak is persistent for the short term, this may encourage governments and central banks to implement effective measures to stimulate fiscal and monetary policies to counter the distraction caused by the pandemic, support the economic activities and cushion the local firms from the pandemic effect. For investors, the findings suggest that long-term investment decision should be taken to invest in all stock markets that are negatively affected by the COVID-19 outbreak to achieve capital gain in the future, while short-term investment decisions may be undertaken to take advantage from the short-term market volatility.

A novel approach to modeling exchange rates is presented based on a set of models distinguished by the drivers of the rate and regime duration. The models are combined into a “meta model” using model averaging and non-nested hypothesis-testing techniques. The meta model accommodates periods of stability and slowly evolving or abruptly changing regimes involving multiple drivers. Estimated meta models for five exchange rates provide a compelling characterization of their determination over the last 40 years or so, identifying “phases” during which the influences from policy and financial market responses to news succumb to equilibrating macroeconomic pressures and vice versa.

The purpose of this paper is to determine to what extent economically significant stock return and volume changes on Tallinn, Riga and Vilnius Stock Exchanges (TSE, RSE, VSE) are contributable to public announcements disclosures and which types of announcements drive these.

Event‐study methodology was used to determine economically significant return and volume events.

It was found that 22‐37 per cent of return or volume events explained by public announcements was twice lower than reported in the UK. The greatest frequency of disclosures was attributable to financial disclosures as could be expected. Although, previous research indicates bigger magnitude of reaction to financial news, it was not observed in case of public announcements. Whereas, the magnitude of reactions on VSE was greater than reported on TSE and RSE, which indicates that VSE differs from TSE and RSE in its information processing.

Firstly, all other mediums of disclosure besides public announcements are excluded. Secondly, the focus on public announcements discards all other factors that could induce market reactions. Thirdly, investors are assumed to act rationally.

The relative importance of different news items in inducing market reactions on the three Baltic stock exchanges has not been previously investigated. Only one previous study has covered a developed capital market of the UK, which means that this paper enables to compare its results to the ones achieved in a developing capital market setting.

The purpose of this paper is to consider a monetary-jump model to measure the contribution of jumps to the total volatility of interest rates in the Brazilian interbank market and to assess the extent to which the central bank’s unanticipated monetary policy decisions are driving these jumps.

The authors use a sample of swap rates contracts with different maturities to estimate a mixture GARCH-jump model that disentangles two components of interest rate volatility: a GARCH-type specification that models conditional heteroskedasticity to account for the volatility during “normal” times and a Poisson process that models the occurrence of abrupt changes in interest rates.

The contribution of jumps to the total volatility is substantial, and monetary policy decisions partly explain the occurrence of those jumps. In particular, the authors find that the likelihood of a jump occurring during a meeting day of the Brazilian central bank’s monetary policy committee (COPOM) is higher in comparison to that of a non-meeting day.

The occurrence of jumps in the term structure of interest rates raises the question of the transmission mechanism of the monetary policy through the asset price channel as well as the relation between jumps and economic fundamentals.

Communication between the central bank and the market will affect expectations and asset values. If the central bank’s decisions generate fewer jumps, then the variance of the interest rate-linked asset values will also be reduced.

The paper employs a new approach to assess monetary policy surprises to a set of Brazilian interest rate data and relates the occurrence of jumps to the macroeconomic environment.

The purpose of this study is to determine if intraday week (IDW) effect of the currencies reflect leverage and asymmetric impact in currencies market. The study data set comprises of intraday patterns of 15 currencies from developed and emerging economies.

The study applies the exponential generalized autoregressive conditional heteroscedasticity (E-GARCH) model technique to observe the IDW leverage and asymmetric effect after introducing hourly dummies variables, namely, IDWmon, IDWwed, IDWfrid and IDWfrid-mon.

The study results favor the propositions and confirm that IDW effect do exist in the international forex markets in relation to hourly trading pattern for respective currencies. Mostly, currencies do depreciate on Monday and Wednesday compared to the rest of the days. However, on the last trading day, i.e. Friday currencies observe an appreciation pattern which is for both economies. The results have an evidence of leverage and asymmetric effect confirmed by the E-GARCH model as a result of press releases and influence by micro-factors in the currency markets.

The study believes to have theoretical connection related to the better understanding of currencies trend for developed and emerging economies, as the IDW effect exists. Moreover, confirmation of both the leverage and asymmetric effect in observed currencies would be able to assist the investors in making rational choices during the trading hours and would confirm considerable profits through profit incentivized strategies.

The study not only add knowledge to the previous study work in relation to the hourly trading pattern of currencies with reference to the IDW effects but also highlights the leverage and asymmetric effect in currencies that will help in formulating future trading strategies particular to emerging economies.