COVID-19 and business renewal: Lessons and insights from the global airline industry

The emergence of the COVID-19 pandemic has adversely affected the fortunes of multiple companies around the globe. Accordingly, questions are increasingly being asked about how organizations can revitalize during and after a crisis. Yet, we have limited understanding of how organizations renew themselves during crises over time. We explore this question through the lens and examination of two South-Asian airlines: Pakistan International Airlines and Sri Lankan Airlines. The cases offer important insights into the reasons behind underperformance of state-controlled enterprises and renewal activities. We shed light on strategic renewal (SR) in the wake of increasing liberalization and deregulations in the global airline industry. To this end, we propose a four-stage approach towards renewing such underperforming organizations to respond effectively to black swan events and external shocks.     

INTERNATIONAL RESERVE MANAGEMENT: A DRIFT‐SWITCHING REFLECTED JUMP‐DIFFUSION MODEL

We study the cost of shocks, that is, jump risk, with respect to reserve management when the reserve process is formulated as a drift‐switching jump diffusion with a reflecting barrier at 0. Inspired by the Brownian drift switching model, our model results in a more realistic dynamic behavior of international reserves than the buffer stock model. The new model can capture both the jump behavior in reserve dynamics and the leptokurtic feature of the increment distribution which has a higher peak and two asymmetric heavier tails than the normal distribution. Through the selection of an initial distribution that reflects certain steady state behaviors, the reserve process becomes a regenerative process. This selection enables us to derive a closed‐form expression for the total expected discounted cost of managing reserves, thus helping us to numerically find management strategies that minimize costs. The numerical results show that shocks at the reserve level have a significant effect on reserve management strategies and that model misspecification can result in nonnegligible additional costs.     

The saving–investment correlation puzzle is still a puzzle

A number of simulation studies claim to have solved the Feldstein–Horioka puzzle by demonstrating that a high time-series correlation between saving and investment naturally arises from business cycle shocks. This paper uses panel data of saving and investment controlled for business cycle shocks to empirically test the significance of cyclical shocks — productivity, fiscal and the terms of trade shocks — in explaining a high saving–investment correlation. The estimation results reveal that conventional aggregate shocks only partially explain the high saving–investment correlation. Moreover, country differences in the size of the GNP and the non-traded sector do not significantly affect the saving–investment correlation. The saving–investment correlation puzzle remains a puzzle after all.     

Dynamic and asymmetric impacts of macroeconomic fundamentals on an integrated stock market

A large body of evidence indicates that macroeconomic and financial variables are dynamically interrelated. In an international setup, we analyze the transmission mechanisms of macroeconomic shocks on the stock market of a small open economy in an increasingly integrated world. We use a time-varying vector error correction model (VECM) that allows analysis of asymmetric impacts that depend on the state of the business cycle. A special focus is directed on monetary policy surprises, where we find that foreign shocks exert a strong influence on an integrated stock market, and that the stage of the business cycle heavily affects the signals of the shocks.     

论经济新闻人才培养的路径创新

财经传媒热及大众媒体的“经济化”,使经济新闻及传媒人才走俏。财经院校依托经济管理的学科优势培养经济新闻人才,应寻求经济管理学科与新闻学之间的契合点,处理好一般新闻学课程与经济新闻类课程的衔接关系,并强化实践教学和就业方向,以突出经济新闻专业特色,力戒“泛化”、“软化”和“硬化”。     

How does news sentiment affect the states of Japanese stock return volatility?

This paper examines the impact of public news sentiment on the volatility states of firm-level returns on the Japanese Stock market. We firstly adopt a novel Markov Regime Switching Long Memory GARCH (MRS-LMGARCH), which is employed to estimate the latent volatility states of intraday stock return. By using the RavenPack Dow Jones News Analytics database, we fit discrete choice models to investigate the impact of news sentiment on changes of volatility states of the constituent stocks in the TOPIX Core 30 Index. Our findings suggest that news occurrence and sentiment, especially those of macro-economic news, are a key factor that significantly drives the volatility state of Japanese stock returns. This provides essential information for traders of the Japanese stock market to optimize their trading strategies and risk management plans to combat volatility.     

Fiscal Policy in Europe: How Effective Are Automatic Stabilisers?

It is largely recognised that fiscal policy will have largerresponsibilities for cyclicalstabilisation in EMU given the loss of the monetary instrument.At the same time, theEMU's budgetary framework emphasises the need to rely onautomatic fiscal stabilisers,rather than active policies in cushioning the business cycle.We show that automaticstabilisers are relatively powerful in the event of shocksto private consumption, but lessso in the case of shocks to private investment and exports.In the case of supply sideshocks, the automatic stabilisers are largely ineffective,but this may actually be a goodthing to the extent that supply-side disturbances call forstructural adjustment rather thancyclical stabilisation.     

经济新闻深度报道的深度构成

浓郁的经济味、较强的思辨色彩、观点的创新性、前景的预测性是经济新闻深度报道深度构成的突出特征。经济新闻深度报道的深度构成过程体现在良好的理论素养与宏观意识的审视相结合,内涵丰富的题材与全面深入地发掘相结合,多种表达方式与实写虚评相结合,多种文体形式与多种构成方式相结合。     

Can innovation shocks determine CO2 emissions (CO2e) in the OECD economies? A new perspective

ABSTRACT

This study has attempted to address prior knowledge gaps in the environmental economics literature by integrating the innovation shocks into the Environment Kuznets Curve (EKC) equation for twenty-six OECD economies using data from 1990 to 2014. Foreign direct investment (FDI), exports (EXP), renewable energy consumption (REC), and GDP per capita were included as control variables. The results from multiple empirical analyses indicated that positive shocks to innovation improve, but the negative shocks disrupt environmental quality. Data analyses also showed that a positive correlation exists between income per capita of OECD economies. From the negative coefficient of income per capita (squared) and the existence of a negative nexus between FDI and CO2e, both the EKC and the Pollution Halo Hypothesis (PHH) were confirmed in sampled economies, respectively. The paper offers empirical support for the favourable impacts of REC on the quality of the environment and calls for the adoption of innovation shocks as a policy instrument to formulate better environmental policies for a sustainable future.     

Risk Aversion,Uncertain Information,and Market Efficiency

Abstract. We reexamine and extend tests of the uncertain information hypothesis (UIH) proposed by Brown, Harlow, and Tinic (1988, 1993). We find that their empirical results are sensitive to the sampling procedure employed and that their particular methodology does not sufficiently distinguish between event and nonevent periods. When the sampling procedure is modified to identify only relatively large, isolated events, the test results generally do not support the UIH. Instead, significant price shocks are consistently followed by short-lived price reversals. We observe this behavior following positive and negative events regardless of whether the event is classified as risk increasing or risk decreasing.