does the great recession imply the end of the great moderation international evidence in this paper we examine whether or not the great recession had a temporary or permanent effect on output growth volatility after years of low macroeconomic volatility since the early eighties based on break detection methods applied to a set of advanced countries our empirical results do not give evidence to the end of the great moderation period but rather that the great recession is characterized by a dramatic short lived effect on the output growth but not on its volatility we show that neglecting the breaks both in mean and in variance can have large effects on output volatility modeling based on garch specifications

political risk and the expectations hypothesis abstract this paper develops and empirically supports using 3 and 6 month interest rates a theory that political risk can explain the shifting term premia found in u s data we find that incorporating these political regime shifts yield results that support the expectations hypothesis

does price uncertainty really reduce private investment a small model applied to chile the recent literature emphasizes the negative impact of price uncertainly on private investment as result of a higher risk premium the price to wait this paper argues that the uncertainly concerning the cost of capital should be compared with uncertainly in the price of output using a simple analytical model we conclude that the efficiency of policies aimed to reduce the price of capital or the basic accelator between investment and output growth may be enhanced if 1 the volatility of the output price is greater than the volatility of the cost of capital and 2 there is a positive correlation between changes in the cost of capital prices in both cases private investment will be more responsive beacuse firms will minimize profit flutuations in the second part of the paper the model is applied to the case of chile over the 1980 90 period this country has earned earned the reputation of being the sucess story of structural adjustment and has acheived fairly stable growth in the past eight years

spurious persistence in stochastic volatility we show that structural changes in stochastic volatility models induce spurious persistence other than in garch type models implied persistence does not tend to unity with given size of the structural change and increasing sample size

what is fractional integration a simple construction that will be referred to as an error duration model is shown to generate fractional integration and long memory an error duration representation also exists for many familiar arma models making error duration an alternative to autoregression for explaining dynamic persistence in economic variables the results lead to a straightforward procedure for simulating fractional integration and establish a connection between fractional integration and common notions of structural change two examples show how the error duration model could account for fractional integration in aggregate employment and in asset price volatility

non stationarities in financial time series the long range dependence and the igarch effects we give the theoretical basis of a possible explanation for two stylized facts observed in long log return series the long range dependence lrd in volatility and the integrated garch igarch both these effects can be explained theoretically if one assumes that the data are nonstationary

exogenous tax changes and interest rates testing for ricardian equivalence using an efficient markets model this article tests the ricardian theory i e barro 1974 using mishkin s 1981 1982 efficient markets model of interest rates employing romer and romer s 2010 measure exogenous tax changes i am able to test whether the u s bond market reacts in a keynesian or ricardian manner to exogenous tax policy changes this helps avoid the endogeneity problems associated with measuring the interest rate effects of deficits and provides a cleaner test of the pure ricardian thought experiment i find a significant negative relationship between tax changes and interest rates which is inconsistent with the ricardian model and support the keynesian crowding out framework

breaks and outliers when modelling the volatility of the u s stock market this study analyses volatility persistence of the u s stock market after taking into account the role of breaks and outliers by employing a wavelet based algorithm it identifies several outliers which are comfortably associated with major events such as the black monday and the asian crisis there is also evidence of clustering of breaks and a substantial variation in the properties of the identified segments

price volatility in niger millet markets price volatility of food staples is one of the most complex factors affecting food security recent food price crises have raised academic interest in improved volatility assessment the widely held assumption in econometric volatility models that long run volatility is constant has been recently questioned and partly blamed for these crises a multiplicative mgarch model recently proposed by bauwens et al is used in this article to model price volatility transmission along the niger millet marketing chain results suggest important volatility links between consumer and producer prices as well as noteworthy differences between short and long run price dynamics

forecasting volatility of crude oil markets abstract this article investigates the efficacy of a volatility model for three crude oil markets brent dubai and west texas intermediate wti with regard to its ability to forecast and identify volatility stylized facts in particular volatility persistence or long memory in this context we assess persistence in the volatility of the three crude oil prices using conditional volatility models the cgarch and figarch models are better equipped to capture persistence than are the garch and igarch models the cgarch and figarch models also provide superior performance in out of sample volatility forecasts we conclude that the cgarch and figarch models are useful for modeling and forecasting persistence in the volatility of crude oil prices

cross border constraints institutional changes and integration of the dutch german gas market we evaluate the contribution of nine institutional changes to the integration of the dutch and german gas markets we analyse this contribution through the impact of bottlenecks in the cross border infrastructure on the absolute value of cross border price differences in the period 2007 2013 the absolute value of the differences in price levels between the dutch and the german ncg market decreased indicating more integration we find evidence that the improved connections within the german networks as well as between the dutch and the german network contributed to this the strengthening of the connections with the uk market and the russian supply however had a negative effect on market integration between the dutch and the german ncg market the liquidity enhancing changes within the dutch market had a negligible effect

forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models this paper extends previous studies by investigating the relevance of structural breaks and long memory in modeling and forecasting the conditional volatility of oil spot and futures prices using a variety of garch type models our results can be summarized as follows first we provide evidence of parameter instability in five out of nine garch based conditional volatility processes for energy prices second long memory is effectively present in all the series considered and a figarch model seems to better fit the data but the degree of volatility persistence diminishes significantly after adjusting for structural breaks finally the out of sample analysis shows that volatility models accommodating instability and long memory characteristics of the data provide the best volatility forecasts for most cases

the great moderation and the relationship between output growth and its volatility this study examines the effect of the great moderation on the relationship between u s output growth and its volatility over the period 1947 to 2006 first we consider the possible effects of structural change in the volatility process in so doing we employ garch m and arch m specifications of the process describing output growth rate and its volatility with and without a one time structural break in volatility second our data analyses and empirical results suggest no significant relationship between the output growth rate and its volatility favoring the traditional wisdom of dichotomy in macroeconomics moreover the evidence shows that the time varying variance falls sharply or even disappears once we incorporate a one time structural break in the unconditional variance of output starting 1982 or 1984 that is the integrated garch effect proves spurious finally a joint test of a trend change and a one time shift in the volatility process finds that the one time shift dominates

measuring tax incidence an application to mortgage provision in the uk this paper derives measures of the average and marginal incidence of a tax or subsidy in imperfect competition in the context of the uk housing market we argue that one form of mortgage common in the uk but not elsewhere the endowment mortgage exists primarily because of the structure of taxation in the uk we estimate the determinants of the choice of the type of mortgage and the size of mortgage conditional on the choice using data from the building societies association on 43 000 individual mortgages taken out between 1985 and 1989 the estimated parameters are an input to the incidence measures results suggest that between 70 and 80 of the additional subsidy to endowment mortgages is captured by lenders rather than borrowers

detecting structural changes under nonstationary volatility this paper shows that the u statistic for moment condition stability proposed by juhl and xiao 2013 can be used to test against structural changes in regression coefficients under nonstationary volatility we investigate the power property under the alternative and prove that the test is consistent against single break multiple breaks and smooth structural changes finally we advocate using a bootstrap method to improve its size performance in finite samples

garch with omitted persistent covariate this paper analyzes the effect of omitting a persistent covariate in the garch x model in particular we show that if the relevant persistent covariate is omitted and the usual garch 1 1 model is fitted the model will be estimated approximately as an igarch model this may well explain the ubiquitous evidence of the igarch in empirical volatility analysis

shifts in volatility driven by large stock market shocks abstract this paper presents an extension of the stochastic volatility model which allows for level shifts in volatility of stock market returns known as structural breaks these shifts are endogenously driven by large return shocks innovations reflecting large pieces of market news these shocks are identified from the data as being bigger in absolute terms than the values of two threshold parameters of the model one for the negative shocks and one for the positive shocks the model can be employed to investigate different sources of stock market volatility shifts driven by market news without relying on exogenous information in addition to this it has a number of interesting features which enable us to study the effects of large return shocks on future levels of market volatility the above properties of the model are shown based on a study for the us stock market volatility

long memory and level shifts in the volatility of stock market return indices there has been interest in the possibility of confusing long memory and structural changes in level and studies showed that when a short memory process is contaminated by level shifts the estimate of the fractional differencing parameter is biased upward and the autocovariances decay slowly we analyze the properties of the autocorrelation function the periodogram and the log periodogram estimate of the memory parameter when the level shift component is a mixture model our results explain many findings reported and uncover new features we confront our theoretical predictions using log squared returns as a proxy for the volatility of some assets returns including daily s p 500 returns over the period 1928 2002 the estimates follow patterns that would obtain if the process was short memory with level shifts instead of fractionally integrated a simple test is also proposed which reinforces this conclusion

forecasting volatility in the biofuel feedstock markets in the presence of structural breaks a comparison of alternative distribution functions abstract the need for research on commodity volatility has grown considerably due to the important role and financialization of commodities in global asset markets this paper examines the volatility forecasting performance of a wide variety of garch based models in the context of biofuel feedstock markets in the presence of structural breaks our sample is also extended to several non renewable energy commodities to evaluate comparatively the volatility forecasting performance across various commodity markets the model specifications allow for different conditional distribution functions in the rolling window estimations a break detection algorithm finds significant evidence of structural breaks in the unconditional variance of all commodity returns under study the out of sample analysis which is based on an up to date model comparison testing procedure reveals that volatility models accommodating structural breaks in the data provide the best volatility forecasts for most cases regarding the relevance of distribution functions the skewed normal distribution dominates in the model confidence sets nevertheless the complex distribution functions do not always outperform simpler ones although true return distribution is asymmetric and heavy tailed

toward a theory of rigidities this paper presents a theory of rigidity or more properly inertia in the responses of economic variables to changing environments the theory rests on three fundamental assumptions 1 that firms are risk averse 2 that firms are uncertain of the impacts of changing decision variables and 3 that this uncertainty increases with the size of deviations in decision variables from appropriately defined past level under these circumstances an optimal portfolio of incremental decision variable adjustments exists which a takes variance minimizing adoptions to environmental change as a point of departure and then b is weighted in favor of changes in variables whose effects are less uncertain in considering price and quantity adjustments this implies that price and wage adjustments should largely incorporate expected inflation and from that point should be small relative to quantity adjustments since in most situations the uncertainties associated with the consequences of quantity adjustment should be smaller than those associated with price adjustments this abstract was borrowed from another version of this item

output growth and its volatility the gold standard through the great moderation this study examines the relationship between u s output growth and its volatility over the period 1876 i to 2012 ii we adjust the data for outliers and structural breaks we employ generalized autoregressive conditional heteroskedasticity garch and exponential garch egarch specifications normality and homoskedasticity appear only in the garch or egarch model that corrects for the outliers when including the break in the mean equation high volatility persistence remains after also accommodating the breaks in the variance equation the integrated garch effect proves spurious either for the symmetric or the asymmetric model finally our empirical results suggest that the finding of higher output growth volatility stimulating output growth and higher output growth reducing its volatility obtained from the symmetric garch in mean garch m model also proves spurious as a result of the emergence of an asymmetric effect our more appropriately specified asymmetric egarch m model suggests positive volatility in mean and level effects in the long period real gross national product series

power monotonicity in detecting volatility levels change we show that the cusum and lm tests for structural change in the volatility process enjoy monotonic power the framework is general including many recently proposed non stationary garch type models the result is in contrast to the well known issue of non monotonic power for the cusum based tests for changing mean simulations and an empirical example provide further support

causality between foreign investment and spillover efficiency while there is considerable evidence on the observed linkage between foreign investment and technical efficiency of the developing countries the question of causality between them has not been investigated this paper re examines the relationship between foreign direct investment and technical efficiency in mexico brazil chile singapore and zambia using granger causality tests the results suggest that foreign direct investment and labour productivity are causally independent variables however capital formation of the host country is found to exert causal influence on foreign investment

volatility persistence in crude oil markets financial market participants and policy makers can benefit from a better understanding of how shocks can affect volatility over time this study assesses the impact of structural changes and outliers on volatility persistence of three crude oil markets brent west texas intermediate wti and organization of petroleum exporting countries opec between january 2 1985 and june 17 2011 we identify outliers using a new semi parametric test based on conditional heteroscedasticity models these large shocks can be associated with particular event patterns such as the invasion of kuwait by iraq the operation desert storm the operation desert fox and the global financial crisis as well as opec announcements on production reduction or us announcements on crude inventories we show that outliers can bias i the estimates of the parameters of the equation governing volatility dynamics ii the regularity and non negativity conditions of garch type models garch igarch figarch and hygarch and iii the detection of structural breaks in volatility and thus the estimation of the persistence of the volatility therefore taking into account the outliers on the volatility modelling process may improve the understanding of volatility in crude oil markets

on the persistence and volatility in european american and asian stocks bull and bear markets abstract in this paper we examine the statistical properties of several stock market indices in europe the us and asia by means of determining the degree of dependence in both the level and the volatility of the processes in the latter case we use the squared returns as a proxy for the volatility we also investigate the cyclical pattern observed in the data and in particular if the degree of dependence changes depending on whether there is a bull or a bear period we use fractional integration and garch specifications the results indicate that the indices are all nonstationary i 1 processes with the squared returns displaying a degree of long memory behaviour with respect to the bull and bear periods we do not observe a systematic pattern in terms of the degree of persistence though for some of the indices ftse dax hang seng and sti there is a higher degree of dependence in both the level and the volatility during the bull periods

persistence in variance structural change and the garch model this article examines the persistence of the variance as measured by the generalized autoregressive conditional heteroskedasticity garch model in stock return data in particular we investigate the extent to which persistence in variance may be overstated because of the existence of and failure to take account of deterministic structural shifts in the model both an analysis of daily stock return data and a monte carlo simulation experiment confirm the hypothesis that garch measures of persistence in variance are sensitive to this type of model misspecification

real and spurious long memory properties of stock market data we test for the presence of long memory in daily stock returns and their squares using a robust semiparametric procedure of lobato and robinson spurious results can be produced by nonstationarity and aggregation we address these problems by analyzing subperiods of returns and using individual stocks the test results show no evidence of long memory in the returns by contrast there is strong evidence in the squared returns

the deaton paradox in a long memory context with structural breaks this article contributes to the permanent income hypothesis pih and excess consumption smoothness debate in the context of fractional integration we show that the excess consumption smoothness result is a consequence of the quarterly data frequency commonly employed in the empirical work in fact the i 1 hypothesis is rejected for the income process with monthly data in favour of a fractional integration order lower than 1 moreover if a structural break is taken into account we observe a substantial reduction in the degree of consumption smoothness especially after the break found in 1975