The Economic Situation: Annual Review : Chapter III. A Longer-Term Review

1970 ◽  
Vol 51 ◽  
pp. 33-46

This chapter begins by reviewing the position of the economy in relation to the business cycle; it goes on to comment on the behaviour of unemployment, briefly considers the question of structural change, and then discusses, at greater length, the stance of policy. It concludes by extending the forecast outlook to 1972 and illustrates some economic possibilities for the medium term.

Author(s):  
Willem H. Boshoff ◽  
Lewis McLean

Background: Empirical business cycle research typically commences with the extraction of a so-called deviation cycle using a time-series smoothing filter. This methodology is appealing for its pragmatism; it is easy to implement, and the output it produces is conveniently interpreted as percentage deviations from the natural level of output. However, recent literature offers staunch criticism of deviation cycle analysis, especially with regards to the assumption implicitly underlying it – that business cycle fluctuations are restricted to distinct intervals on the frequency domain.Aim: Despite its lack of a basis in theory, the analysis of deviation cycles over particular frequency ranges may still yield useful stylised business cycle facts. This, however, hinges on whether the information that a frequency filter captures consistently aligns with relevant theory-based business cycle concepts. Whether this is the case is an empirical matter, and herein lies the rationale for our research.Setting: We investigate the informational content of South Africa’s output deviation cycles.Methods: We extract deviation cycles at standard high- and medium-frequency ranges (denoted as short- and medium-term deviation cycles respectively) and analyse their informational overlap with the components of an alternative theory-based estimate of the business cycle, decomposed into demand, supply, domestic and foreign sources of business cycle dynamics.Results: Our findings suggest that the contents of deviation cycles extracted over a high-frequency range do not neatly correspond to the transitory ‘demand-driven’ business cycle, while cycles extracted over a medium-frequency range correspond closely to the combined path of permanent output shocks.Conclusion: One should thus be cautious of drawing strong conclusions about the nature of business cycles from filter-based deviation cycle estimates, particularly if the objective of the study relies on assuming that high-frequency deviation cycles correspond to transitory demand shocks.


The Markov switching vector autoregressive model is a dynamic stochastic system with stochastic autoregressive parameters. This model able to measure a time varying problem when the variables undergoing regime switching. Structural change or shock is an ordinary fact in time series data. Some shocks have an important role under specific regimes in examining the business cycle contraction. Excluding changes in regime for the measurement of variance decomposition may produce biased results. Moreover, the parameters in the time series model might also have a structural change. Therefore, linear models are no longer suitable to be used in analyzing the financial model; and nonlinear time series models that are Markov switching models are proposed to solve these kinds of problems. A two regimes Markov switching vector autoregressive model is used in this study to analysis the time series data. The regime is dependent heterogeneous with varying the variance to detect every change of the business cycle. The correlations between oil price, Malaysia, Singapore, Thailand and Indonesia stock price are examining using Markov switching model. The result shows that the regimes dependent models suitable to employ in study the asymmetric business cycle; and oil price have a negative relationship with the changes of the four selected Asian stock markets.


Author(s):  
Reinhard Spree

AbstractThis introduction to the special issue on “Cycles and Crises” offers in part a critical look at developments in economic theory that have diverted interest from the business cycle, now considered to be obsolete. To the contrary, we argue here that all economic crises including the most recent are based on cyclical downtrends that are reinforced, prolonged and transformed by externalities.Moreover, these pages present the thesis that cyclical downtrends turn into profound and long-lasting economic crises when they occur during phases of accelerated structural change in economy and society. Thus they happen simultaneously with political conflicts among the larger groups of winners and losers in the processes of change.These contributions question what, if anything, might be learned from the history of cycles and crises. Probably very little, because the desire for excessive profit prompts investors to ignore larger lessons. Instead, people brush aside whatever rules and guidelines are suggested by the study of history. Finally, individual contributions on the topic are briefly introduced.


2016 ◽  
pp. 25-43 ◽  
Author(s):  
A. Mogilat ◽  
Y. Achkasov ◽  
A. Egorov ◽  
A. Klimovets ◽  
S. Donets

The article discusses approaches and instruments used in the Bank of Russia public analytical materials for analysis and forecast of macroeconomic conditions and monetary indicators. The authors focus on indicators of business cycle and monetary conditions, as crucial for monetary policy analysis. The attention is paid to issues most frequently discussed in scientific and expert literature, specifically, to new indicators and models presented in the Bank of Russia Monetary Policy Reports in 2015.


CFA Digest ◽  
2005 ◽  
Vol 35 (2) ◽  
pp. 42-43
Author(s):  
Daniel B. Cashion

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