the inflation tax in a real business cycle model money is incorporated into a real business cycle model using a cash in advance constraint the model economy is used to analyze whether the business cycle is different in high inflation and low inflation economies and to analyze the impact of variability in the growth rate of money in addition the welfare cost of the inflation tax is measured and the steady state properties of high and low inflation economies are compared

understanding the welfare implications of currency substitution abstract this paper develops a model of endogenous currency substitution where agents decide which purchases will be made with domestic and which with foreign currency in a representative agent economy allowing for this use of alternative means of payments is welfare enhancing the result is an application of ramsey taxation rules by which currency substitution shifts the burden of the inflation tax towards relatively demand inelastic commodities when extending the model to the case in which agents have different productivities we show that inflation has strong income distribution effects with high low income agents benefitting losing when currency substitution is introduced

implications of dynamic optimal taxation for the evolution of tax structures the paper by james alt 1983 lists several interesting observations in relation to the evolution of tax structures in many developed countries the share of tax revenues collected as direct taxes has been increasing over the past century although the timing of the major increases has varied among the countries on page 201 he says the growth of the business share of direct taxes was the most striking feature of figure 1 the figure compares seven countries in the years 1880 and 1979 some of that growth took place between 1955 and 1979 as figure 4 indicates direct taxes on households have become more progressive over time irt attempting to explain these and other observations alt pays little or no attention to economic efficiency considerations this is perhaps understandable since most of the taxation literature has dealt with static models recently however several papers have

answering the skeptics yes standard volatility models do provide accurate forecasts a voluminous literature has emerged for modeling the temporal dependencies in financial market volatility using arch and stochastic volatility models while most of these studies have documented highly significant in sample parameter estimates and pronounced intertemporal volatility persistence traditional ex post forecast evaluation criteria suggest that the models provide seemingly poor volatility forecasts contrary to this contention we show that volatility models produce strikingly accurate interdaily forecasts for the latent volatility factor that would be of interest in most financial applications new methods for improved ex post interdaily volatility measurements based on high frequency intradaily data are also discussed

redistribution policy and the expansion of the public sector abstract during the first part of this century life cycle and insurance type considerations seem to have dominated redistribution policy in particular when we look at the consequences for the expansion of public spending by contrast during recent decades fragmented horizontal redistributions between various minority groups have probably been the most important mechanisms the self interest of different groups of the electorate seems to have provided the most powerful motive behind these various policies although welfare altruism and what in this paper are called considerations of consequential externalities have probably been important motives behind redistribution in favor of the poor

value at risk estimation with the optimal dynamic biofuel portfolio abstract in the past petroleum companies only paid attention to hedging the variation in the crude oil price and volatility however they have now expanded their analysis to encompass renewable sources such as corn and soybeans under the current low carbon biofuel obligations this paper employs garch 1 1 and arji models to estimate the one day ahead value at risk var of the optimal dynamic biofuel portfolio which consists of crude oil corn and soybeans the optimal blended standard is subject to the dual limitations of minimum production costs and the lowest biofuel using requirements our empirical findings confirm that the arji model is more suitable than the garch 1 1 model and further captures the discontinuous jump behavior from the in the sample data the results of out of sample forecasts also are represented that our models play important roles in var estimation and risk management for biofuel portfolio we therefore suggest that the petroleum companies should simultaneously pay attention to jump risk in hedging material costs in the prices of energy related crops

evaluating interval forecasts a complete theory for evaluating interval forecasts has not been worked out to date most of the literature implicitly assumes homoskedastic errors even when this is clearly violated and proceed by merely testing for correct unconditional coverage consequently i set out to build a consistent framework for conditional interval forecast evaluation which is crucial when higher order moment dynamics are present the new methodology is demonstrated in an application to the exchange rate forecasting procedures advocated in risk management

real time density forecasts from bayesian vector autoregressions with stochastic volatility central banks and other forecasters are increasingly interested in various aspects of density forecasts however recent sharp changes in macroeconomic volatility including the great moderation and the more recent sharp rise in volatility associated with increased variation in energy prices and the deep global recession pose significant challenges to density forecasting accordingly this paper examines with real time data density forecasts of u s gdp growth unemployment inflation and the federal funds rate from bayesian vector autoregression bvar models with stochastic volatility the results indicate that adding stochastic volatility to bvars materially improves the real time accuracy of density forecasts this article has supplementary material online

inflation and welfare in a monetary economy it is in everyone s private interest to try to get someone else to hold non interest bearing cash and reserves but someone has to hold it all so these efforts must simply cancel out all of us spend several hours per year in this effort and employ thousands of talented and highly trained people to help us these person hours are simply thrown away wasted on a task that should not have to be performed at all

forecasting portfolio value at risk with nonparametric lower tail dependence estimates abstract we propose to forecast the value at risk of bivariate portfolios using copulas which are calibrated on the basis of nonparametric sample estimates of the coefficient of lower tail dependence we compare our proposed method to a conventional copula garch model where the parameter of a clayton copula is estimated via canonical maximum likelihood the superiority of our proposed model is exemplified by analyzing a data sample of nine different bivariate and one nine dimensional financial portfolio a comparison of the out of sample forecasting accuracy of both models confirms that our model yields economically significantly better value at risk forecasts than the competing parametric calibration strategy

rolling sampled parameters of arch and levy stable models in this paper an asymmetric autoregressive conditional heteroskedasticity arch model and a levy stable distribution are applied to some well known financial indices dax30 ftse20 ftse100 and sp500 using a rolling sample of constant size in order to investigate whether the values of the estimated parameters of the models change over time although there are changes in the estimated parameters reflecting that structural properties and trading behaviour alter over time the arch model adequately forecasts the one day ahead volatility a simulation study is run to investigate whether the time variant attitude holds in the case of a generated arch data process revealing that even in that case the rolling sampled parameters are time varying

inflation interest rate policy and currency substitutions in developing economies a discussion of some major issues abstract this paper deals with the management of interest rates in an open economy under rapid inflation and reviews the links between interest and exchange rate policies to prevent current substitution the rate of interest paid to lenders must equal the equivalent rate after adjusting for differential taxation and intermediation costs this would probably induce capital inflows and consequent monetary growth exchange risks are also considered in this context the paper concludes that under inflationary conditions it is difficult to use only interest rates to achieve both proper resource allocation and prevention of currency substitution some policy measures to cope with this problem are discussed

monetary aggregates and output series title working paper frb title monetary aggregates and output date publication federal reserve bank of cleveland working paper no 9813 author s scott freeman finn kydland type working paper frb topics s us economy

stabilization policy and the costs of dollarization this paper compares the welfare costs of business cycles in a dollarized economy to those associated with several alternative monetary regimes belonging to three broad families interest rate feedback rules inflation targeting and money growth rate rules the analysis is conducted within an optimizing model of a small open economy with sticky prices the model is calibrated to the mexican economy and is driven by 3external shocks terms of trade world interest rate and import price inflation we show econometrically that these shocks explain more than 75 of the observed forecasting error variance of mexican output and the mexican real exchange rate at 4 to 16 quarter horizons the welfare comparisons suggest that dollarization is the least successful of the monetary policy rules considered agents are willing to give up more than 2 of their non stochastic steady state consumption to see a policy other than dollarization implemented

the trade balance and real exchange rate under currency substitution abstract it is demonstrated that the calvo and rodriguez 1977 results hold up in a utility maximizing model contrary to the claim of liviatan 1981 it is argued that liviatan s conclusions are based on a mistaken assumption having rescued calvo rodriguez from liviatan it is then shown that the calvo rodriguez results are dependent on two special assumptions that there is only one foreign asset traded and its real return is zero the paper also shows that there is an avenue for foreign inflation transmission under perfectly floating exchange rates even when goods prices are perfectly flexible however the direction of response of real variables is in general ambiguous

inflationary finance and currency substitution in a public finance framework abstract this paper analyzes the impact of currency substitution on inflationary finance in a public finance framework it is shown that if foreign money balances can be taxed or subsidized the optimal inflation tax is always zero in the more realistic case in which foreign money cannot be taxed the optimal inflation tax is positive whenever there are revenue needs moreover the optimal inflation tax is an increasing function of government spending and the foreign nominal interest rate

do banks overstate their value at risk abstract this paper is the first empirical study of banks risk management systems based on non anonymous daily value at risk var and profit and loss data using actual data from the six largest canadian commercial banks we uncover evidence that banks exhibit a systematic excess of conservatism in their var estimates the data used in this paper have been extracted from the banks annual reports using an innovative matlab based data extraction method out of the 7354 trading days analyzed in this study there are only two exceptions i e days when the actual loss exceeds the disclosed var whereas the expected number of exceptions with a 99 var is 74 for each sample bank we extract from historical vars a risk overstatement coefficient ranging between 19 and 79 we attribute var overstatement to several factors including extreme cautiousness and underestimation of diversification effects when aggregating vars across business lines and or risk categories we also discuss the economic and social cost of reporting inflated vars

dynamics of credit spread moments of european corporate bond indexes abstract traditional quantitative credit risk models assume that changes in credit spreads are normally distributed but empirical evidence shows that they are likely to be skewed fat tailed and change behaviour over time not taking into account such characteristics can compromise calculation of loss probabilities pricing of credit derivatives and profitability of trading strategies therefore the aim of this study is to investigate the dynamics of higher moments of changes in credit spreads of european corporate bond indexes using extensions of garch type models that allow for time varying volatility skewness and kurtosis of changes in credit spreads as well as a regime switching garch model which allows for regime shifts in the volatility of changes in credit spreads performance evaluation methods are used to assess which model captures the dynamics of observed distribution of the changes in credit spreads produces superior volatility forecasts and value at risk estimates and yields profitable trading strategies the results presented can have significant implications for risk management trading activities and pricing of credit derivatives

endogenous currency substitution inflationary finance and welfare in some countries a foreign currency has replaced the domestic one to perform the functions of money this phenomenon is known as currency substitution this paper explores the relationship between currency substitution and inflationary finance in an overlapping generations model in which currency substitution is an endogenous equilibrium outcome the author describes when currency substitution may emerge and shows that it may be a purely expectational phenomenon he uses the model to discuss the welfare effects of inflation and the effects of policies that deal directly with currency substitution cs copyright 1994 by ohio state university press

a new pearson type qmle for conditionally heteroscedastic models this article proposes a novel pearson type quasi maximum likelihood estimator qmle of garch p q models unlike the existing gaussian qmle laplacian qmle generalized non gaussian qmle or lad estimator our pearsonian qmle pqmle captures not just the heavy tailed but also the skewed innovations under strict stationarity and some weak moment conditions the strong consistency and asymptotic normality of the pqmle are obtained with no further efforts the pqmle can be applied to other conditionally heteroscedastic models a simulation study is carried out to assess the performance of the pqmle two applications to four major stock indexes and two exchange rates further highlight the importance of our new method heavy tailed and skewed innovations are often observed together in practice and the pqmle now gives us a systematic way to capture these two coexisting features

roughing it up including jump components in the measurement modeling and forecasting of return volatility a rapidly growing literature has documented important improvements in financial return volatility measurement and forecasting via use of realized variation measures constructed from high frequency returns coupled with simple modeling procedures building on recent theoretical results in barndorff nielsen and shephard 2004a 2005 for related bi power variation measures the present paper provides a practical and robust framework for non parametrically measuring the jump component in asset return volatility in an application to the dm exchange rate the s p500 market index and the 30 year u s treasury bond yield we find that jumps are both highly prevalent and distinctly less persistent than the continuous sample path variation process moreover many jumps appear directly associated with specific macroeconomic news announcements separating jump from non jump movements in a simple but sophisticated volatility forecasting model we find that almost all of the predictability in daily weekly and monthly return volatilities comes from the non jump component our results thus set the stage for a number of interesting future econometric developments and important financial applications by separately modeling forecasting and pricing the continuous and jump components of the total return variation process

time series copulas for heteroskedastic data we propose parametric copulas that capture serial dependence in stationary heteroskedastic time series we suggest copulas for first order markov series and then extend them to higher orders and multivariate series we derive the copula of a volatility proxy based on which we propose new measures of volatility dependence including co movement and spillover in multivariate series in general these depend upon the marginal distributions of the series using exchange rate returns we show that the resulting copula models can capture their marginal distributions more accurately than univariate and multivariate generalized autoregressive conditional heteroskedasticity models and produce more accurate value at risk forecasts

inflation thresholds and the finance growth nexus abstract the robustness of the cross sectional relationship between the size of a country s financial sector and its rate of economic growth is by now well established in this article we examine whether the strength of this relationship varies with the inflation rate using five year averages of standard measures of financial development inflation and growth for 84 countries from 1960 to 1995 a series of rolling panel regressions show that there is an inflation threshold for the finance growth relationship that lies between 13 and 25 percent when inflation exceeds the threshold finance ceases to increase economic growth we also find that the level of financial depth varies inversely with inflation in low inflation environments and that disinflation is associated with a positive effect of financial depth on growth

the origins of tax systems a french american comparison this article examines the origins of tax systems through a historical comparison of france and the united states and analysis of several shadow cases the article explains why the united states has relied more heavily on progressive income taxation than france which has favored regressive sales taxes this study traces the origins of these two tax systems to the early 20th century arguing that decisions about tax structure were shaped by resistance to the concentration of economic power in the united states and the centralization of state power in france in the united states the rapid concentration of economic power in the late 19th century spurred a political movement for a tax with clear redistributive purposes in france resistance to the centralization of state power and concomitant fears of fiscal inquisition weakened the drive for an effective income tax leaving the state to rely on consumption taxes to meet its revenue needs these 19th century movements of resistance to modernization shaped the foundations of contemporary political economy

modeling and forecasting extreme commodity prices a markov switching based extreme value model abstract we propose a markov switching multifractal peaks over threshold msm pot model to capture the dynamic behavior of the random occurrences of extreme events exceeding a high threshold in time series of returns this approach allows introducing changes of regimes in the conditional mean function of the inter exceedance times i e the time between two consecutive extreme events in order to admit the presence of short and long term memory patterns further through its multifractal structure the msm pot approach is able to capture the typical stylized facts of extreme events observed in financial time series such as temporal clustering of the size of exceedances and temporal behavior of tail thickness we compare the performance of the msm pot model with competing self exciting models and a garch evt approach in an in and out of sample var forecasting exercise based on the extreme returns of six daily commodity futures prices i e brent and wti crude oil cocoa cotton copper and gold empirical results suggest that the var estimates generated by the msm pot model for the returns analyzed produce the most accurate forecasts

multivariate density forecast evaluation and calibration in financial risk management high frequency returns on foreign exchange we provide a framework for evaluating and improving multivariate density forecasts among other things the multivariate framework lets us evaluate the adequacy of density forecasts involving cross variable interactions such as time varying conditional correlations we also provide conditions under which a technique of density forecast calibration can be used to improve deficient density forecasts and we show how the calibration method can be used to generate good density forecasts from econometric models even when the conditional density is unknown finally motivated by recent advances in financial risk management we provide a detailed application to multivariate high frequency exchange rate density forecasts

currency substitution and the real exchange rate the utility maximization approach abstract this paper studies the currency substitution hypothesis with rational expectations in terms of a sidrauski type model where domestic and foreign money enter the utility function it shows that contrary to liviatan 1981 the approach does not necessarily contradict calvo and rodriguez 1977 furthermore the impact of monetary stabilization policy is fully characterized with flexible and pre fixed rates for an extension of dornbusch and mussa 1975 a brief analysis of the optimal quantity of money is also provided

currency substitution inflation and welfare abstract currency substitution affects the mapping between social welfare and inflation by altering the underlying money demand function and influencing interest rates in order to explore the essence of this effect i build a model with working capital under which foreign currency is substituted with the less liquid components of domestic money the framework closely mimics the actual pattern of currency substitution across varying rates of inflation and enables the study of an additional channel that works through the impact of currency substitution on interest rates it is found that there is a threshold inflation rate which turns out to be 44 under baseline calibration below which currency substitution decreases welfare and vice versa a practical implication is that at inflation rates lower greater than the threshold the potential welfare gains from disinflation to a near zero inflation rate are higher lower if there is currency substitution than otherwise

political preferences for the pork barrel a generalization this paper provides a rational explanation for the observation of oversized coalitions often approaching unanimous size in the realm of distributive policies distributive policies are those which concentrate benefits in specific geographic areas states congressional districts while spreading costs through general taxation the explanation offered here that legislators may rationally prefer universalism to hard ball coalition politics generalizes earlier work of weingast and fiorina in particular it extends their results to pork barrel politics i e projects that are economically inefficient and demonstrates how packages of economically inefficient projects can nevertheless be politically popular the main theoretical feature that induces preferences for universalism is uncertainty over the composition of winning coalitions and consequently the desire for the political insurance that universalism provides

why can modern governments tax so much an agency model of firms as fiscal intermediaries we develop an agency model explaining why third party information reporting by firms makes tax enforcement successful while third party reporting would be ineffective with frictionless collusion between firms and employees collusive evasion is impossible to sustain in firms with many employees and accurate business records as any single employee may reveal evasion we embed our agency model into a macro model where the number of employees grows with development showing that the tax take evolves as an s shape driven by changes in third party information we show that our model is consistent with a set of stylized facts on taxation and development

continuous cascade models for asset returns abstract in this paper we make a short overview of continuous cascade models recently introduced to model asset return fluctuations we show that these models account in a very parcimonious manner for most of stylized facts of financial time series we review in more details the simplest continuous cascade namely the log normal multifractal random walk mrw it can simply be considered as a stochastic volatility model where the log volatility memory has a peculiar logarithmic shape this model possesses some appealing stability properties with respect to time aggregation we describe how one can estimate it using a gmm method and we present some applications to volatility and var value at risk forecasting

forecasting daily supermarket sales using exponentially weighted quantile regression inventory control systems typically require the frequent updating of forecasts for many different products in addition to point predictions interval forecasts are needed to set appropriate levels of safety stock the series considered in this paper are characterised by high volatility and skewness which are both time varying these features motivate the consideration of forecasting methods that are robust with regard to distributional assumptions the widespread use of exponential smoothing for point forecasting in inventory control motivates the development of the approach for interval forecasting in this paper we construct interval forecasts from quantile predictions generated using exponentially weighted quantile regression the approach amounts to exponential smoothing of the cumulative distribution function and can be viewed as an extension of generalised exponential smoothing to quantile forecasting empirical results are encouraging with improvements over traditional methods being particularly apparent when the approach is used as the basis for robust point forecasting

forecasting the joint distribution of australian electricity prices using dynamic vine copulae abstract we consider the problem of modelling and forecasting the distribution of a vector of prices from interconnected electricity markets using a flexible class of drawable vine copula models where we allow the dependence parameters of the constituting bivariate copulae to be time varying we undertake in sample and out of sample tests using daily electricity prices and evidence that our model provides accurate forecasts of the underlying distribution and outperforms a set of competing models in their abilities to forecast one day ahead conditional quantiles of a portfolio of electricity prices our study is conducted in the australian national electricity market nem which is the most efficient power auction in the world electricity prices exhibit highly stylised features such as extreme price spikes price dependency between regional markets correlation asymmetry and non linear dependency the developed approach can be used as a risk management tool in the electricity retail industry which plays an integral role in the apparatus of modern energy markets electricity retailers are responsible for the efficient distribution of electricity while being exposed to market risk with extreme magnitudes

a closed form garch option valuation model this paper develops a closed form option valuation formula for a spot asset whose variance follows a garch p q process that can be correlated with the returns of the spot asset it provides the first readily computed option formula for a random volatility model that can be estimated and implemented solely on the basis of observables the single lag version of this model contains heston s 1993 stochastic volatility model as a continuous time limit empirical analysis on s p500 index options shows that the out of sample valuation errors from the single lag version of the garch model are substantially lower than the ad hoc black scholes model of dumas fleming and whaley 1998 that uses a separate implied volatility for each option to fit to the smirk smile in implied volatilities the garch model remains superior even though the parameters of the garch model are held constant and volatility is filtered from the history of asset prices while the ad hoc black scholes model is updated every period the improvement is largely due to the ability of the garch model to simultaneously capture the correlation of volatility with spot returns and the path dependence in volatility article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

capturing deep tail risk via sequential learning of quantile dynamics abstract this paper develops a conditional quantile model that can learn long term and short term memories of sequential data it builds on sequential neural networks and yet outputs interpretable dynamics we apply the model to asset return time series across eleven asset classes using historical data from the 1960s to 2018 our results reveal that it extracts not only the serial dependence structure in conditional volatility but also the memories buried deep in the tails of historical prices we further evaluate its value at risk forecasts against a wide range of prevailing models our model outperforms the garch family as well as models using filtered historical simulation conditional extreme value theory and dynamic quantile regression these studies indicate that conditional quantiles of asset return have persistent sources of risk that are not coming from those responsible for volatility clustering these findings could have important implications for risk management in general and tail risk forecasts in particular

the power to tax analytical foundations of a fiscal constitution preface 1 taxation in constitutional perspective 2 natural government a model of leviathan 3 constraints on base and rate structure 4 the taxation of commodities 5 taxation through time income taxes capital taxes and public debt 6 money creation and taxation 7 the disposition of public revenues 8 the domain of politics 9 open economy federalism and taxing authority 10 toward authentic tax reform prospects and prescriptions epilogue notes selected bibliography index

the evolution of tax structures certain themes recur throughout this paper the traditional account of the evolution of tax structures through the interaction of increasing efficiency and the claims of special interests plays a role but is not the whole story different taxes create tradeoffs between the costs of administration and compliance specification of these costs creates a framework in which long term trends like the growth and centralization of revenues and the increasing dependence on direct taxation can be understood this framework applies to observable collective decisions to alter tax structures uncertainty about ultimate incidence plays a major role in such decisions it also applies to the decentralized context of adjustment and resistance this framework can be used to investigate the extent of redistribution within tax systems and of the requirement of frequent reforms to sustain redistribution against resistance the simultaneous consideration of economic and political aspects of taxation can only improve future research

taxes welfare costs and public consumption the case of the unwitting monopsonist our analysis provides some initial insight into the distributional consequences of alternative tax structures it has been shown that tax distortions when incorporated into an expenditure framework drive a wedge between the price paid by consumers for government goods and the explicit price received by producers such a wedge operates as a monopsonistic device that in the final analysis can improve the well being of public consumers whether this result emerges depends not only on the relative elasticity of demand and supply but also on the institutional setting in which public spending decisions are made

comparing the welfare costs and initial dynamics of alternative inflation stabilization policies abstract this paper uses calibrated versions of a sticky price currency substitution model to compare the initial dynamics and welfare costs of three types of stabilization program exchange rate based erb money based mb and money based with initial reliquefication mbr erb and mbr programs are found to induce an initial expansion in real activity whereas mb programs are initially contractionary the welfare gains of eliminating high inflation are significant under permanent erb and mbr programs but small under permanent mb programs in addition temporary mb programs are shown to be much more disruptive than temporary erb or mbr programs these results provide an explanation for why mb programs are so rarely implemented and suggest that empirical studies that fail to distinguish mb from mbr programs are likely to be biased toward finding that stabilizations are always expansionary regardless of the nominal anchor

conditional volatility skewness and kurtosis existence persistence and comovements abstract recent portfolio choice asset pricing value at risk and option valuation models highlight the importance of modeling the asymmetry and tail fatness of returns these characteristics are captured by the skewness and the kurtosis we characterize the maximal range of skewness and kurtosis for which a density exists and show that the generalized student t distribution spans a large domain in the maximal set we use this distribution to model innovations of a garch type model where parameters are conditional after demonstrating that an autoregressive specification of the parameters may yield spurious results we estimate and test restrictions of the model for a set of daily stock index and foreign exchange returns the estimation is implemented as a constrained optimization via a sequential quadratic programming algorithm adequacy tests demonstrate the importance of a time varying distribution for the innovations in almost all series we find time dependency of the asymmetry parameter whereas the degree of freedom parameter is generally found to be constant over time we also provide evidence that skewness is strongly persistent but kurtosis is much less so a simulation validates our estimations and we conjecture that normality holds for the estimates in a cross section setting we also document covariability of moments beyond volatility suggesting that extreme realizations tend to occur simultaneously on different markets

a positive model of tax reform this paper is devoted to the explanation of tax policy from a behavioural theoretic point of view it for the first time brings together within a unified framework behavioural determinants of government expenditure taxation and tax reform administrative and compliance costs associated with taxation factors generally neglected in models of taxation as well as tax avoidance evasion deadweight losses and the costs that are involved in the tax reform process itself play a crucial role in the model the paper investigates how these factors influence the development of taxation and expenditure and the occurrence of tax reform

yield factor volatility models the term structure of interest rates is often summarized using a handful of yield factors that capture shifts in the shape of the yield curve in this paper we develop a comprehensive model for volatility dynamics in the level slope and curvature of the yield curve that simultaneously includes level and garch effects along with regime shifts we show that the level of the short rate is useful in modeling the volatility of the three yield factors and that there are significant garch effects present even after including a level effect further we find that allowing for regime shifts in the factor volatilities dramatically improves the model s fit and strengthens the level effect we also show that a regime switching model with level and garch effects provides the best out of sample forecasting performance of yield volatility we argue that the auxiliary models often used to estimate term structure models with simulation based estimation techniques should be consistent with the main features of the yield curve that are identified by our model

currency substitution new evidence from emerging economies abstract this paper provides new empirical evidence for currency substitution in different emerging market economies estimation results from a money in the utility function framework indicate that foreign currencies are strong substitutes for domestic currency in producing liquidity services

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

how relevant is volatility forecasting for financial risk management it depends if volatility fluctuates in a forecastable way volatility forecasts are useful for risk management hence the interest in volatility forecastability in the risk management literature volatility forecastability however varies with horizon and different horizons are relevant in different applications moreover existing assessments of volatility forecastability are plagued by the fact that they are joint assessments of volatility forecastability and an assumed model and the results can vary not only with the horizon but also with the assumed model to address this problem we develop a model free procedure for assessing volatility forecastability across horizons perhaps surprisingly we find that volatility forecastability decays quickly with horizon volatility forecastability although clearly of relevance for risk management at the short horizons relevant for say trading desk management may be much less important at longer horizons

point process models for extreme returns harnessing implied volatility forecasting the risk of extreme losses is an important issue in the management of financial risk there has been a great deal of research examining how option implied volatilities iv can be used to forecast asset return volatility however the role of iv in the context of predicting extreme risk has received relatively little attention the potential benefit of iv in forecasting extreme risk is considered within a range of models beginning with the traditional garch based approach along with a number of novel point process models univariate models where iv is included as an exogenous variable are considered along with a novel bivariate approach where extreme movements in iv are treated as another point process it is found that in the context of forecasting value at risk the bivariate models produce the most accurate forecasts across a wide range of scenarios

tourism demand and economic growth in spain new insights based on the yield curve abstract this study examines for the first time the dynamic relationship between tourism growth and expected macroeconomic conditions of the destination country using a dcc garch model the focus is on the spanish economy in which monthly tourist arrivals data from 1998 to 2017 were collected for five key origin countries and around the world to capture expected macroeconomic conditions the spanish term structure of interest rates is used the results suggest that the tourism expected economic growth relationship is time varying without any country specific differences in the behaviour of the correlations importantly positive correlations reportedly coincides with a regime shift in the spanish economy whereas negative correlations are evident when expected economic conditions are stable it is also shown that the aforementioned relationship is influenced by key geopolitical and economic events the 9 11 terrorist attacks global financial crisis and the ecb s quantitative easing programme finally policy implications derived from the main findings are discussed