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1 – 10 of over 4000Kirstin Hubrich and Timo Teräsvirta
This survey focuses on two families of nonlinear vector time series models, the family of vector threshold regression (VTR) models and that of vector smooth transition regression…
Abstract
This survey focuses on two families of nonlinear vector time series models, the family of vector threshold regression (VTR) models and that of vector smooth transition regression (VSTR) models. These two model classes contain incomplete models in the sense that strongly exogeneous variables are allowed in the equations. The emphasis is on stationary models, but the considerations also include nonstationary VTR and VSTR models with cointegrated variables. Model specification, estimation and evaluation is considered, and the use of the models illustrated by macroeconomic examples from the literature.
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Angela J. Black, David G. McMillan and Fiona J. McMillan
This paper aims to empirically test for multiple cointegrating vectors in a holistic manner. Theoretical developments imply bivariate cointegration among stock prices, dividends…
Abstract
Purpose
This paper aims to empirically test for multiple cointegrating vectors in a holistic manner. Theoretical developments imply bivariate cointegration among stock prices, dividends, output and consumption where independent models identify key theoretical cointegration vectors.
Design/methodology/approach
This paper considers both Johansen and Horvath–Watson testing approaches for cointegration. This paper also examines the forecasting power of these cointegrating relationships against alternate forecast variables.
Findings
The results suggest evidence of a long-run cointegrating relationship between stock prices, dividends, output and consumption, although not necessarily linked by a single common stochastic trend; each series responds to disequilibrium with greater evidence of a reaction from dividends and consumption – of note, output responds to changes in stock market equilibrium; and there is forecast power from the joint stock market–macro cointegrating vector for stocks returns and consumption growth over the historical average. Of particular note, other forecast models that include consumption perform well and suggest a key role for this variable in stock return and consumption growth forecasts.
Originality/value
This is the first paper to combine the cointegrating relationships between stocks, dividends, output and consumption. Thus, the empirical validity of stated theoretical hypotheses can be analysed. The forecast results also demonstrate the usefulness of this. They also show that forecast models that include consumption perform well and suggest a key role for this variable in stock return and consumption growth forecasts.
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Dennis W. Jansen and Zijun Wang
The “Fed Model” postulates a cointegrating relationship between the equity yield on the S&P 500 and the bond yield. We evaluate the Fed Model as a vector error correction…
Abstract
The “Fed Model” postulates a cointegrating relationship between the equity yield on the S&P 500 and the bond yield. We evaluate the Fed Model as a vector error correction forecasting model for stock prices and for bond yields. We compare out-of-sample forecasts of each of these two variables from a univariate model and various versions of the Fed Model including both linear and nonlinear vector error correction models. We find that for stock prices the Fed Model improves on the univariate model for longer-horizon forecasts, and the nonlinear vector error correction model performs even better than its linear version.
Nikolay Gospodinov, Alex Maynard and Elena Pesavento
It is widely documented that while contemporaneous spot and forward financial prices trace each other extremely closely, their difference is often highly persistent and the…
Abstract
It is widely documented that while contemporaneous spot and forward financial prices trace each other extremely closely, their difference is often highly persistent and the conventional cointegration tests may suggest lack of cointegration. This chapter studies the possibility of having cointegrated errors that are characterized simultaneously by high persistence (near-unit root behavior) and very small (near zero) variance. The proposed dual parameterization induces the cointegration error process to be stochastically bounded which prevents the variables in the cointegrating system from drifting apart over a reasonably long horizon. More specifically, this chapter develops the appropriate asymptotic theory (rate of convergence and asymptotic distribution) for the estimators in unconditional and conditional vector error correction models (VECM) when the error correction term is parameterized as a dampened near-unit root process (local-to-unity process with local-to-zero variance). The important differences in the limiting behavior of the estimators and their implications for empirical analysis are discussed. Simulation results and an empirical analysis of the forward premium regressions are also provided.
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This paper aims to empirically examine how shocks to monetary policy measures (the short-term nominal interest rate and broad money supply) affect macroeconomic aggregates…
Abstract
Purpose
This paper aims to empirically examine how shocks to monetary policy measures (the short-term nominal interest rate and broad money supply) affect macroeconomic aggregates, namely, output growth of the economy, national price levels and the nominal exchange rate.
Design/methodology/approach
Johansen’s (1995) cointegration technique and error correction models are used to explore the long-run relationship among variables. To investigate how macroeconomic aggregates respond to a one-standard deviation shock to the underlying monetary measures, the authors estimate impulse response functions based on error correction models. The study uses quarterly data covering the period 1980-2009.
Findings
The results provide evidence that there is a long-run stable relationship between the authors' monetary measures and the underlying macroeconomic aggregates. They also find that the industrial production adjusts at a faster speed relative to commodity prices and the exchange rate over the examined period. Further, they show that the short-term interest rate has relatively stronger effects on output as compared to broad money supply, whereas prices and exchange rates adjust more quickly to their long-run equilibrium when money supply is used as a measure of monetary policy. Finally, the authors find significant evidence of a price puzzle regardless of whether they consider a closed or an open economy case. However, an initial appreciation of exchange rate is observed in response to a one-standard deviation shock to money supply, indicating the overshooting hypothesis phenomenon.
Practical implications
The findings of the analysis suggest that the interest rate-oriented monetary policy is more effective when the monetary authorities’ objective is to enhance the output growth of the economy. However, in case of inflation targeting, the broad money supply seems a more appropriate instrument. Our findings also suggest that the monetary policy has a significant role in stabilizing both real and nominal sectors of the economy.
Originality/value
The main value of this paper is to examine the significance of monetary policy for a developing and relatively small open economy, namely, Pakistan. The authors use the error correction model, which improves the estimation by accounting for the long-run association. They also take into account the world oil prices by including the world commodity price index as a control variable in their empirical investigation. Finally, they utilize quarterly data rather than annual, and they cover a relatively recent sample period.
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Anindya Banerjee, Massimiliano Marcellino and Igor Masten
The Factor-augmented Error-Correction Model (FECM) generalizes the factor-augmented VAR (FAVAR) and the Error-Correction Model (ECM), combining error-correction, cointegration and…
Abstract
The Factor-augmented Error-Correction Model (FECM) generalizes the factor-augmented VAR (FAVAR) and the Error-Correction Model (ECM), combining error-correction, cointegration and dynamic factor models. It uses a larger set of variables compared to the ECM and incorporates the long-run information lacking from the FAVAR because of the latter’s specification in differences. In this paper, we review the specification and estimation of the FECM, and illustrate its use for forecasting and structural analysis by means of empirical applications based on Euro Area and US data.
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Kim Hin David Ho, Satyanarain Rengarajan and John Glascock
The purpose of this paper is to examine the structure and dynamics of Singapore's Central Area office market. A long-run equilibrium relationship is tested and a short-run…
Abstract
Purpose
The purpose of this paper is to examine the structure and dynamics of Singapore's Central Area office market. A long-run equilibrium relationship is tested and a short-run adjustment error correction model are estimated, incorporating appropriate serial error correction. The long-run equation is estimated for office rent, with office employment and available stock.
Design/methodology/approach
With the vector error correction model (VECM), the lagged rent, available stock, office employment, vacancy and occupied stock (OS) can impact the rental adjustment process. Equilibrium rent on the whole reacts positively to lagged rents, available stock, office employment, OS and negatively to vacancy rates (VC). Past levels of positive change in VC and rental growth can have negative effects on current OS.
Findings
While good economic conditions signaled by increases in rents increase the supply of new stock (available space), higher rents and VC dampen the long-term occupied space (space absorption) in accordance with economic theory. Available stock can be forecasted by past rent and absorption levels owing to the developer's profit-driven nature.
Research limitations/implications
An understanding of the interaction between the macroeconomic variables and the Central Area office market is useful to domestic and foreign investors and developers, who then can better evaluate their decision making in commercial real estate investment and development projects.
Practical implications
It is implicit that the Singapore Central Area office market requires at least a year before any rental increase can potentially dampen the space demanded. Firms are attracted to locate there owing to agglomeration economies and they are willing to pay premium office rents in conjunction with office space intensification in the Central Area. Newly built space is positively affected by past rents. Urban Redevelopment Authority and private real estate developers should be wary of excess office sector vacancies by avoiding over supply, even though an increase in the supply of office space in the Central Area can have a positive impact on office rent in the longer term. Most of the office space development would tend to meet the demand in the long run. Rental stickiness is exemplified as rental changes are affected by lagged rent.
Social implications
Policy makers are better enabled to stabilize the office sectors of the real estate market if so required.
Originality/value
The paper adopts the VECM and validated by empirical evidence, to investigate the long-run equilibrium relationship and short-term corrections underlying the dynamics of the Singapore Central office market. Delay in the restoration of equilibrium in real estate markets is attributed to factors like lease terms and supply lags.
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This study examines the dynamic responses of five different daily energy prices to a pulse shock affecting the daily price of oil.
Abstract
Purpose
This study examines the dynamic responses of five different daily energy prices to a pulse shock affecting the daily price of oil.
Design/methodology/approach
Daily data for energy prices from the Federal Reserve Economic Data (FRED) database for January 7, 1997, through February 8, 2021, are analyzed. A bivariate structural vector error correction model and generalized autoregressive conditionally heteroscedastic model are combined and extended by adding the volatility of the growth rate of daily oil prices as an explanatory variable for the growth rates of energy prices. This model is estimated and used to generate impulse responses for energy prices.
Findings
The empirical results show that the levels of the daily energy prices examined have unit roots, are integrated of order one, are cointegrated, and generally revert slowly to their long-term equilibrium relationships with the price of oil. The growth rates for the daily energy prices have autoregressive conditional heteroscedasticity, generally are positively related to the volatility of daily oil prices, respond quickly to a pulse shock to daily oil prices, and have cumulative responses that last at least one month.
Originality/value
This paper allows for simultaneous estimation of extended bivariate structural vector error correction and generalized autoregressive conditionally heteroscedastic models that include the volatility of oil as an explanatory variable and uses these models to generated cumulative impulse responses for the growth rates of daily energy prices to oil price shocks.
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Palamalai Srinivasan, M. Kalaivani and P. Ibrahim
This paper aims to investigate the causal nexus between foreign direct investment (FDI) and economic growth in SAARC countries.
Abstract
Purpose
This paper aims to investigate the causal nexus between foreign direct investment (FDI) and economic growth in SAARC countries.
Design/methodology/approach
Johansen's cointegration test was employed to examine the long‐run relationship between foreign direct investment and economic growth in SAARC countries. Besides, the vector error correction model (VECM) was employed to examine the causal nexus between foreign direct investment and economic growth in SAARC countries for the years 1970‐2007. Finally, the impulse response function (IRF) has been employed to investigate the time paths of log of foreign direct investment (LFDI) in response to one‐unit shock to the log of gross domestic product (LGDP) and vice versa.
Findings
The Johansen cointegration result establishes a long‐run relationship between foreign direct investment and gross domestic product (GDP) for the sample of SAARC nations, namely, Bangladesh, India, Maldives, Nepal, Pakistan and Sri Lanka. The empirical results of the vector error correction model exhibit a long‐run bidirectional causal link between GDP and FDI for the selected SAARC nations except India. The test results show that there is a one‐way long‐run causal link from GDP to FDI for India.
Research limitations/implications
This paper employed annual data to examine the causal nexus between FDI and economic growth. Therefore, researchers are encouraged to test the FDI‐growth relationship further by using quarterly data.
Practical implications
The SAARC nations should adopt effective policy measures that would substantially enlarge and diversify their economic base, improve local skills and build up a stock of human capital recourses capabilities, enhance economic stability and liberalise their market in order to attract as well as benefit from long‐term FDI inflows.
Originality/value
This paper would be immensely helpful to the policy makers of SAARC countries to plan their FDI policies in a way that would enhance growth and development of their respective economies.
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