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1 – 10 of 78Steven J. Cochran and Robert H. DeFina
This study uses parametric hazard models to investigate duration dependence in US stock market cycles over the January 1929 through December 1992 period. Market cycles are…
Abstract
This study uses parametric hazard models to investigate duration dependence in US stock market cycles over the January 1929 through December 1992 period. Market cycles are determined using the Beveridge‐Nelson (1981) approach to the decomposition of economic time series. The results show that both real and nominal cycles exhibit positive duration dependence. The implication of this finding is that actual prices revert to their permanent or trend level in a non‐random manner as the cyclical component dissipates over time. This process is consistent with mean reversion in price and suggests that predictable periodicity in market cycles may exist. Only limited evidence is obtained that discrete shifts or trends in mean cycle duration exist. The length of market cycles appears not to have changed over the 1929–92 period.
Firms can use dividends and/or share repurchases to distribute cash to shareholders. Jagannathan, Stephens, and Weisbach (2000) argue that managers tend to use dividends to pay…
Abstract
Firms can use dividends and/or share repurchases to distribute cash to shareholders. Jagannathan, Stephens, and Weisbach (2000) argue that managers tend to use dividends to pay out permanent cash flows and repurchases to pay out temporary cash flows. This paper examines Korean firms’ decisions on their choices between paying out cash flows in the form of dividends or share repurchases. We focus on the permanence of cash flows. To complete this analysis, we decompose cash flows into a transitory component and a permanent one of each firm, employing the approach of Beveridge and Nelson (1981). We find that higher permanent cash flows increase the probability of a dividend increase, while higher temporary cash flows increase the probability of repurchases. And Korean firms tend to choose both dividend change and repurchases when temporary cash flows increase, rather than to choose only repurchases without dividend change. These empirical results show that Korean firms take into consideration of permanence of cash flows in the choice of their payout methods.
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This chapter investigates the impact of different state correlation assumptions for out-of-sample performance of unobserved components (UC) models with stochastic volatility…
Abstract
This chapter investigates the impact of different state correlation assumptions for out-of-sample performance of unobserved components (UC) models with stochastic volatility. Using several measures of US inflation the author finds that allowing for correlation between inflation’s trend and cyclical (or gap) components is a useful feature to predict inflation in the short run. In contrast, orthogonality between such components improves the out-of-sample performance as the forecasting horizon widens. Accordingly, trend inflation from orthogonal trend-gap UC models closely tracks survey-based measures of long-run inflation expectations. Trend dynamics in the correlated-component case behave similarly to survey-based nowcasts. To carry out estimation, an efficient algorithm which builds upon properties of Toeplitz matrices and recent advances in precision-based samplers is provided.
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Dmitrij Celov and Mariarosaria Comunale
Recently, star variables and the post-crisis nature of cyclical fluctuations have attracted a great deal of interest. In this chapter, the authors investigate different methods of…
Abstract
Recently, star variables and the post-crisis nature of cyclical fluctuations have attracted a great deal of interest. In this chapter, the authors investigate different methods of assessing business cycles (BCs) for the European Union in general and the euro area in particular. First, the authors conduct a Monte Carlo (MC) experiment using a broad spectrum of univariate trend-cycle decomposition methods. The simulation aims to examine the ability of the analysed methods to find the observed simulated cycle with structural properties similar to actual macroeconomic data. For the simulation, the authors used the structural model’s parameters calibrated to the euro area’s real gross domestic product (GDP) and unemployment rate. The simulation outcomes indicate the sufficient composition of the suite of models (SoM) consisting of popular Hodrick–Prescott, Christiano–Fitzgerald and structural trend-cycle-seasonal filters, then used for the real application. The authors find that: (i) there is a high level of model uncertainty in comparing the estimates; (ii) growth rate (acceleration) cycles have often the worst performances, but they could be useful as early-warning predictors of turning points in growth and BCs; and (iii) the best-performing MC approaches provide a reasonable combination as the SoM. When swings last less time and/or are smaller, it is easier to pick a good alternative method to the suite to capture the BC for real GDP. Second, the authors estimate the BCs for real GDP and unemployment data varying from 1995Q1 to 2020Q4 (GDP) or 2020Q3 (unemployment), ending up with 28 cycles per country. This analysis also confirms that the BCs of euro area members are quite synchronized with the aggregate euro area. Some major differences can be found, however, especially in the case of periphery and new member states, with the latter improving in terms of coherency after the global financial crisis. The German cycles are among the cyclical movements least synchronized with the aggregate euro area.
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There is no research on understanding the difference in the nature of volatility and what it entails for the underlying relationship between foreign institutional investors (FII…
Abstract
Purpose
There is no research on understanding the difference in the nature of volatility and what it entails for the underlying relationship between foreign institutional investors (FII) flows and stock market movements. The purpose of this paper is to explore how permanent and transitory shocks dominate the common movement between FII flows and the stock market returns. As emerging markets are a major destination of international portfolio investments, the author uses India as a perfect case study to this end.
Design/methodology/approach
The paper uses the permanent-transitory as well as a trend-cycle decomposition approach to gain further insights into the common movement between foreign institutional investors (FII) flows and the stock market.
Findings
When the author identifies innovations based on their degree of persistence, transitory shocks dominate stock returns, whereas permanent shocks explain movements in foreign institutional investors (FII) flows. Also, stock returns have a larger cyclical component compared to cycles in foreign flows. The authors find the sharp downward (upward) movement in the stock market (FII flows) cycle in the initial period of the COIVD-19 pandemic was quickly reversed and currently, the stock market (FII flows) is historically above (below) the long-term trend, hinting at a correction in months ahead. The authors find strikingly similar stock market cycles during the global financial crisis and COVID-19 period.
Research limitations/implications
Evidence suggests the presence of long stock market cycles – substantial and persistent deviations of actual price from its fundamental (trend) value determined by the shared relationship with foreign flows. This refutes the efficient market hypothesis and makes a case favoring diversification gains from investing in India. Further, transitory shocks dominate the forecast error of stock market movements. Thus, the Indian market provides profit opportunities to foreign investors who use a momentum-based strategy. The author also finds support for the positive feedback trading strategy used by foreign investors.
Practical implications
There is a need for policymakers to account for the foreign undercurrents while formulating economic policies, given the findings that it is the permanent shocks that mostly explain movements in foreign institutional flows. Further, the author finds only stock markets error-correct in response to any short-term shocks to the shared long-term relationship, highlighting the disruptive (though transitory) role of FII flows.
Originality/value
Unlike existing studies, the author models the relationship between stock market returns and foreign institutional investors (FII) flows by distinguishing between the permanent and transitory movements in these two variables. Ignoring this distinction, as done in existing literature, can affect the soundness of the estimated parameter that captures the nexus between these two variables. In addition, while it may be common to find that stock market returns and FII flows move together, the paper further contributes by decomposing each variable into a trend and a cycle using this shared relationship. The paper also contributes to understanding the impact of COVID-19 on this relationship.
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C.S. Agnes Cheng, Bong-Soo Lee and Simon Yang
Prior studies provide mixed propositions on whether earnings levels or earnings changes provide the better explanatory power for variations of stock returns and whether the…
Abstract
Purpose
Prior studies provide mixed propositions on whether earnings levels or earnings changes provide the better explanatory power for variations of stock returns and whether the time-series behavior of earnings affects the value relevance of both earnings variables. This paper aims to compare the value relevance of earnings levels with that of earnings changes in the return-earnings relations.
Design/methodology/approach
The unobservable components model is used to estimate permanent and transitory components of earnings.
Findings
The finding shows that the proxy ability of earnings changes for unexpected earnings is sensitive to a firm's time-series earnings permanence property and is unstable and noisy when earnings contain predominantly transitory components, but that of earnings levels is not. The results support earnings levels are a stable and better value relevant proxy in the return-earnings relations.
Research limitations/implications
The findings imply that the valuation role of earnings levels is important in the research relating to earnings components, earnings innovations, and equity valuation, especially when earnings permanence is of interest.
Practical implications
The results provide a new understanding on the role of earnings levels in many business decisions such as executive compensations, institutional investment and conservative accounting where they often involve the choice of using levels and/or changes of earnings variables in making decisions.
Originality/value
The paper contributes to the accounting literature by providing a new insight into the valuation role of earnings levels in the return-earnings relations. The stable value relevance of earnings levels also has important implications, especially for studies that use only earnings levels to assess earnings quality and earnings attributes.
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It is found that one unit root, common trend is shared by the quarterly auction price series of five frequently auctioned types of stamps. The common trends analysis provides…
Abstract
It is found that one unit root, common trend is shared by the quarterly auction price series of five frequently auctioned types of stamps. The common trends analysis provides specific, stationary linear combinations, or cointegrating portfolios, of the auction price levels. The quarterly returns for the system of cointegrated auction prices can be represented by an error correction model using past returns and cointegrating vectors. There is evidence of a positive relationship between changes in the common trend and leading changes in industrial production
Fabio Canova and Matteo Ciccarelli
This article provides an overview of the panel vector autoregressive models (VAR) used in macroeconomics and finance to study the dynamic relationships between heterogeneous…
Abstract
This article provides an overview of the panel vector autoregressive models (VAR) used in macroeconomics and finance to study the dynamic relationships between heterogeneous assets, households, firms, sectors, and countries. We discuss what their distinctive features are, what they are used for, and how they can be derived from economic theory. We also describe how they are estimated and how shock identification is performed. We compare panel VAR models to other approaches used in the literature to estimate dynamic models involving heterogeneous units. Finally, we show how structural time variation can be dealt with.
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Bing Xu and Xiaowen Hu
– The purpose of this paper is to find alternative strategies to change negative output gaps in China.
Abstract
Purpose
The purpose of this paper is to find alternative strategies to change negative output gaps in China.
Design/methodology/approach
A path Philips curves approach is proposed to investigate output gaps, which develops hybrid Philips curves with the control variables of money, house prices and interest rates.
Findings
An alternative strategy to stop the decline in output gaps rate is to perform interest rate, house price, and money growth rate about 3, 1 and 15 percent, respectively. The results also indicate that only one of monetary increase, changes in interest rates, and house price adjustments are difficult to change the negative output gap.
Practical implications
Alternative strategies cannot only change the negative output gap, but also succeed in pushing the inflation rate down to 3 percent.
Originality/value
This study provides a new path Philips curves to simulate how the macroscopic control variables influence output and inflation. It provides a useful insight for stopping the decline in output gaps.
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