forecasting crude oil price volatility and value at risk evidence from historical and recent data abstract this paper adopts the markov switching multifractal msm model and a battery of generalized autoregressive conditional heteroscedasticity garch type models to model and forecast oil price volatility extending previous work by wei et al 2010 and wang et al 2016 we evaluate the forecasting performance of all these models via a superior predictive ability spa test we go beyond previous research by i considering oil price volatility in the nineteenth century along with recent data ii applying different types of msm models and iii considering value at risk predictions besides our forecasting of volatility confirming its successful performance in other studies the new msm model comes out as the model that most often across forecasting horizons and subsamples cannot be outperformed by other models this superiority also applies to forecasting of value at risk

the incremental information content of investor fear gauge for volatility forecasting in the crude oil futures market abstract this paper aims to investigate whether investor fear gauge ifg contains incremental information content for forecasting the volatility of crude oil futures for this purpose we use oil volatility index ovx to measure the ifg adding the ifg to existing heterogeneous autoregressive har models we develop many har models with ifg subsequently we employ these har models to predict the volatility of crude oil futures the results from the parameter estimation and out of sample forecasting show that the in sample and out of sample performances of har models with ifg are significantly better than their corresponding har models without ifg the results are robust in different ways thus the har models with ifg are more beneficial to the decision making of all participants including financial traders manufacturers and policymakers in the crude oil futures market more importantly the results suggest that the investor fear gauge has a significant positive effect on volatility forecasting and can help improve the performances of almost all the existing har models

the channel of monetary transmission to demand evidence from the market for automobile credit in response to tight money both consumer loans and consumption fall the author asks whether there is any causality running from loans to consumption by focusing on how the composition of automobile finance between bank and nonbank sources of credit changes in response to unanticipated innovations in monetary policy the results indicate that contractionary monetary policy produces a statistically significant reduction in the relative supply of bank consumer loans which in turn produces a decline in real consumption the evidence therefore supports the existence of a credit channel of monetary transmission to aggregate consumption moreover the nature of automobile finance is uniquely suited to identifying which of two possible sub channels of the broader credit channel is relatively more important and suggests the results are more likely consistent with a bank lending channel than with a pure balance sheet channel however the findings also indicate that the quantitative effects of the lending channel on the aggregate economy though precisely estimated may be quite small

the macroeconomic effects of government debt in a stochastic growth model abstract this paper studies how government liabilities affect macroeconomic aggregates in a standard general equilibrium growth model there are two principal results i though it is often thought that fiscal deficits crowd out investment this paper shows that deficit financed cuts in distortionary income taxation may stimulate investment even if agents expect future taxes on capital income to be higher this result is dependent on the values of two key parameters the elasticity of labor supply and the degree of persistence in the government debt process ii the economy s response to an increase in government expenditure depends on how it is financed distortionary tax finance may lead to a decline in output consumption and investment in contrast deficit finance may increase output and consumption

nonmonetary effects of the financial crisis in propagation of the great depression this paper examines the effects of the financial crisis of the 1930s onthe path of aggregate output during that period our approach is complementary to that of friedman and schwartz who emphasized the monetary impact of the bank failures we focus on non monetary primarily credit related aspects of the financial sector output link and consider the problems of debtors as well as those of the banking system we argue that the financial disruptions of 1930 33 reduced the efficiency of the credit allocation process and that the resulting higher cost and reduced availability of credit acted to depress aggregate demand evidence suggests that effects of this type can help explain the unusual length and depth of the great depression this abstract was borrowed from another version of this item

bank risk taking securitization supervision and low interest rates evidence from the euro area and the u s lending standards using a unique dataset of the euro area and the u s bank lending standards we find that low monetary policy short term interest rates soften standards for household and corporate loans this softening especially for mortgages is amplified by securitization activity weak supervision for bank capital and low monetary policy rates for an extended period conversely low long term interest rates do not soften lending standards finally countries with softer lending standards before the crisis related to negative taylor rule residuals experienced a worse economic performance afterward these results help shed light on the origins of the crisis and have important policy implications the author 2011 published by oxford university press on behalf of the society for financial studies all rights reserved for permissions please e mail journals permissions oup com oxford university press

banking and interest rates in monetary policy analysis a quantitative exploration abstract the paper reconsiders the role of money and banking in monetary policy analysis by including a banking sector and money in an optimizing model otherwise of a standard type the model is implemented quantitatively with a calibration based on us data it is reasonably successful in providing an endogenous explanation for substantial steady state differentials between the interbank policy rate and i the collateralized loan rate ii the uncollateralized loan rate iii the t bill rate iv the net marginal product of capital and v a pure intertemporal rate we find a differential of over 3 p a between iii and iv thereby contributing to resolution of the equity premium puzzle dynamic impulse response functions imply pro or counter cyclical movements in an external finance premium that can be of quantitative significance in addition they suggest that a central bank that fails to recognize the distinction between interbank and other short rates could miss its appropriate settings by as much as 4 p a also shocks to banking productivity or collateral effectiveness call for large responses in the policy rate

can structural adjustment work for women farmers this article discusses the impact of structural adjustment programs saps on women farmers in developing countries saps aim to improve economic efficiency and promote more rapid economic growth saps are introduced in two phases the first phase involves short term loans with the condition that the country adopt monetary restraints and currency devaluation measures in the second phase long term loans are given with the provision that the country deregulate their economy and open up markets the agricultural sector is affected by saps because of their importance in employment income generation and export earnings saps result in lower farm commodity prices due to currency devaluations and in removal of subsidies which results in market sensitive pricing or higher food prices the impact of saps on agriculture vary between countries in morocco and algeria agriculture expanded under saps in indonesia bolivia costa rica and mexico the agriculture stagnated or declined agricultural growth was slowest in africa saps were somewhat successful in increasing agricultural exports food production grew slowly in many adjusting countries blame for failures of saps has been placed on government failure to implement reforms properly and overly optimistic assumptions about the timing of productive gains little attention has focused on the constraints facing women farmers who are a large proportion of farmers particularly in sub saharan africa this article focuses on the issues of limited access to resources credit agricultural extension and information land ownership education and time as constraints to women farmers women also must ensure household food security for saps to work effectively complementary policies must be implemented that reallocate available productive resources and new technologies to women and that deal with womens constraints

dollarization bailouts and the stability of the banking system central bank policy suffers from time inconsistency when facing a banking crisis a bailout is optimal ex post but ex ante it should be limited to control moral hazard dollarization provides a credible commitment not to help at the cost of not helping even when it would be ex ante optimal to do so dollarization is good when the costs of establishing a reputation for the central bank are high monitoring effort by the banker is important in improving returns and when the cost of liquidating projects is moderate however a very severe moral hazard problem could make dollarization undesirable the results obtained are applied to assess the desirability of dollarization in a range of countries and the potential role of the imf as international lolr we would never put ourselves in a position where we envisioned actions that we would take would be of assistance to the rest of the world but to the detriment of the united states alan greenspan to a congressional panel in 1999 iht january 19 2000

bank runs and institutions the perils of intervention we study ex post efficient policy responses to a run on the banking system and the ex ante incentives these responses create we show that the efficient response to a run is typically not to freeze all remaining deposits since doing so imposes heavy costs on some individuals instead once a run is underway benevolent government institutions would allow additional deposit withdrawals placing further strain on the banking system when depositors anticipate these extra withdrawals their incentive to participate in the run increases in fact ex post efficient interventions can generate the conditions necessary for a self fulfilling run to occur jel g21 g8

international evidence on crude oil price dynamics applications of arima garch models abstract we examine the usefulness of several arima garch models for modeling and forecasting the conditional mean and volatility of weekly crude oil spot prices in eleven international markets over the 1 2 1997 10 3 2009 period in particular we investigate the out of sample forecasting performance of four volatility models garch egarch and aparch and figarch over january 2009 to october 2009 forecasting results are somewhat mixed but in most cases the aparch model outperforms the others also conditional standard deviation captures the volatility in oil returns better than the traditional conditional variance finally shocks to conditional volatility dissipate at an exponential rate which is consistent with the covariance stationary garch models than the slow hyperbolic rate implied by the figarch alternative

does oil move equity prices a global view many studies indicate that oil price shocks have an adverse effect on real output and hence an adverse effect on corporate profits where oil is used as a key input the present study examines whether and to what extent the adverse effect of oil price shocks impacts stock market returns to this end we analyse 35 datastream global industry indices for the period from april 1983 to september 2005 our findings indicate that oil price rises have a negative impact on equity returns for all sectors except mining and oil and gas industries generally these results are consistent with economic theory and evidence provided by previous empirical studies little evidence of any asymmetry is detected in the oil price sensitivities in light of our findings we recommend that international portfolio investors consider hedging oil price risk

outliers and garch models in financial data abstract we propose to extend the additive outlier ao identification procedure developed by franses and ghijsels franses p h ghijsels h 1999 additive outliers garch and forecasting volatility international journal of forecasting 15 1 9 to take into account the innovative outliers ios in a garch model we apply it to three daily stock market indexes and examine the effects of outliers on the diagnostics of normality

financial contagion and depositor monitoring this paper analyzes market discipline in a many bank economy where contagion and bank runs interact we present a model with differently informed depositors where those depositors that are more informed have incentives to monitor banks investments it is shown that when banks are undercapitalized and the probability of success of the risky asset is low depositors might prefer a contract that is subject to bank runs in the interim period to a contract that allows banks to gamble with their funds and maintain their investment the results of the paper emphasize the benefits of private monitoring of banks in order to promote market discipline

macroeconomic factors and microlevel bank behavior we analyze the link between banks and the macroeconomy using a model that extends a macroeconomic var for the u s with a set of factors summarizing conditions in about 1 500 commercial banks we investigate how macroeconomic shocks are transmitted to individual banks and obtain the following main findings backward looking risk of a representative bank declines and bank lending increases following expansionary shocks forward looking risk increases following an expansionary monetary policy shock there is however substantial heterogeneity in the transmission of macroeconomic shocks which is due to bank size capitalization liquidity risk and the exposure to real estate and consumer loans

reprint of central bank collateral frameworks abstract this paper seeks to inform about a feature of monetary policy that is largely overlooked yet occupies a central role in modern monetary and financial systems namely central bank collateral frameworks their importance can be understood by the observation that the money at the core of these systems central bank money is injected into the economy on terms not defined in a market but by the collateral frameworks and interest rate policies of central banks using the collateral framework of the eurosystem as a basis of illustration and case study the paper brings to light the functioning reach and impact of collateral frameworks a theme that emerges is that collateral frameworks may have distortive effects on financial markets and the wider economy they can for example bias the private provision of real liquidity and thereby also the allocation of resources in the economy as well as contribute to financial instability evidence is presented that the collateral framework in the euro area promotes risky and illiquid collateral and more generally impairs market forces and discipline the paper also emphasizes the important role of ratings and government guarantees in the eurosystem s collateral framework

why do firms default on their foreign currency loans the case of hungary abstract i isolate the effect of the choice of foreign currency on the loan performance of firms borrowing in different currencies in crisis times i use a novel micro level dataset from hungary to decompose the factors contributing to the worse loan performance of foreign currency borrowers compared to local currency debtors i find that foreign currency denomination can worsen loan performance considerably while selection also contributes significantly to the default differences on the one hand per se less creditworthy firms borrowed in foreign currency and during the crisis the foreign currency shocks further weakened their loan performances on the other hand more creditworthy firms that were also well prepared for the currency risks also borrowed in foreign currency my results suggest that not the institution of foreign currency lending per se that should be blamed for the bad loan performance of foreign currency borrowers instead one should consider the characteristics of the borrowers

banking crises and liquidity in a monetary economy abstract this study investigates banks liquidity provision using the lagos and wright model of monetary exchange with aggregate uncertainty we show that banks sometimes exhaust their cash reserves and fail to satisfy their depositors needs for consumption smoothing we also show that banking crises can be eliminated by a rate of return equalizing policy under perfect risk sharing but the first best outcome can be only achieved with the friedman rule these results cannot be obtained with other monetary models e g overlapping generations models we also derive a rich array of non trivial effects of inflation on equilibrium deposits the probability of banking crises and banks portfolios

forecasting volatility in the petroleum futures markets a re examination and extension abstract this paper examines the volatility models and their forecasting abilities for four types of petroleum futures contracts traded on the new york mercantile exchange the aim of this paper is twofold firstly it replicates and carries out the robustness checks using the rigorous model confidence set test on the out of sample volatility forecast analysis undertaken by sadorsky energy economics 2006 28 467 488 through the same statistical models but with the extended data on daily prices of petroleum futures our test results largely confirm the findings obtained in the replicated paper secondly our paper also explores the relevance of some statistical complexities e g model optimality regime switches and alternative distribution functions in volatility forecasting through a large number of moving windows our results in general show that accounting for the model optimality structural breaks and using the asymmetric heavy tailed distribution functions in the estimations lead to significant forecasting accuracy gains

modelling oil price volatility with structural breaks in this paper we provide two main innovations i we analyze oil prices of two prominent markets namely west texas intermediate wti and brent using the two recently developed tests by narayan and popp 2010 and liu and narayan 2010 both of which allow for two structural breaks in the data series and ii the latter method is modified to include both symmetric and asymmetric volatility models we identify two structural breaks that occur in 1990 and 2008 which coincidentally correspond to the iraqi kuwait conflict and the global financial crisis respectively we find evidence of persistence and leverage effects in the oil price volatility while further extensions can be pursued the consideration of asymmetric effects as well as structural breaks should not be jettisoned when modelling oil price volatility

money in a theory of banking we introduce money in a model of banking in order to examine how open market operations can affect aggregate bank lending and output we see two important ways changes in money supply affect the banking system first by changing prices and interest rates it affects the wealth of demanders of real liquidity and thus the equilibrium production of liquid assets aggregate output and the health of the banking system second it changes the value of money as a means of payment and thus the attractiveness of moving from deposits to currency the demand for financial liquidity again this impacts the health of the banking system and thus bank lending and aggregate output we use this understanding to see how changes in money supply can create alleviate or be ineffective in banking crises

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

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

does china factor matter an econometric analysis of international crude oil prices abstract whether china s crude oil imports are the culprit of oil price volatility these years has not been quantitatively confirmed therefore this paper empirically investigates the role of china s crude oil net imports in brent price changes from october 2005 to november 2013 based on an econometric analysis the results indicate that during the sample period china s crude oil imports do not significantly affect brent price changes no matter in the long run or short run therefore the blame for china s crude oil imports to cause the dramatic fluctuations of international oil price has no solid evidence also there exists significant uni directional causality running from the brent price to china s crude oil imports at the 5 level besides the response of the brent price to china s crude oil imports is found positive but slight and the brent price responds more significantly to us dollar exchange rate and oecd commercial inventory than to china s crude oil imports in the short run finally the contribution of china s crude oil imports to brent price movement is about 10 which is less than that of us dollar exchange rate but larger than that of indian crude oil imports or oecd commercial inventory

a nonparametric garch model of crude oil price return volatility the use of parametric garch models to characterise crude oil price volatility is widely observed in the empirical literature in this paper we consider an alternative approach involving nonparametric method to model and forecast oil price return volatility focusing on two crude oil markets brent and west texas intermediate wti we show that the out of sample volatility forecast of the nonparametric garch model yields superior performance relative to an extensive class of parametric garch models these results are supported by the use of robust loss functions and the hansen s 2005 superior predictive ability test the improvement in forecasting accuracy of oil price return volatility based on the nonparametric garch model suggests that this method offers an attractive and viable alternative to the commonly used parametric garch models

good bad cojumps and volatility forecasting new evidence from crude oil and the u s stock markets abstract in this article we investigate the impacts of jumps cojumps and their signed components on forecasting oil futures price volatility in the framework of the heterogeneous autoregressive realized volatility model our empirical results reveal several noteworthy findings first the effects of signed jumps and cojumps based on the daily and intraday jump tests on future volatility are asymmetric and the negative components are much more powerful in forecasting volatility moreover our proposed models including the signed jump and cojump components are able to generate higher forecasting accuracy and we find that disentangling the effects of positive and negative jumps and cojumps can significantly improve forecasts of future volatility lastly our findings are reliable for various robustness checks and our study provides some new insights into forecasting oil price realized volatility which are useful for researchers market participants and policymakers

oil shock and economic growth in japan a nonlinear approach abstract this paper investigates the relationship between oil price shock and economic growth on the basis of the nonlinear approach developed by hamilton hamilton j 2001 a parametric approach to flexible nonlinear inference econometrica 537 573 we use the approach also in hamilton hamilton j 2003 what is an oil shock journal of econometrics 363 398 of capturing this relationship in japan in a nonlinear model the idea is that negative oil price shocks price increase tend to have larger impact on growth than positive shocks do our empirical evidence confirmed the existence of nonlinearity between these two variables and a flexible nonlinear model is estimated additionally several other form of nonlinearity are estimated and tested

optimal financial crises empirical evidence suggests that banking panics are related to the business cycle and are not simply the result of sunspots panics occur when depositors perceive that the returns on bank assets are going to be unusually low we develop a simple model of this in this setting bank runs can be first best efficient they allow efficient risk sharing between early and late withdrawing depositors and they allow banks to hold efficient portfolios however if costly runs or markets for risky assets are introduced central bank intervention of the right kind can lead to a pareto improvement in welfare from the earliest times banks have been plagued by the problem of bank runs in which many or all of the bank s depositors attempt to withdraw their funds simultaneously because banks issue liquid liabilities in the form of deposit contracts but invest in illiquid assets in the form of loans they are vulnerable to runs that can lead to closure and liquidation a financial crisis or banking panic occurs when depositors at many or all of the banks in a region or a country attempt to withdraw their funds simultaneously prior to the twentieth century banking panics occurred frequently in europe and the united states panics were generally regarded as a bad thing and the development of central banks to eliminate panics and ensure financial stability has been an important feature of the history of financial systems it has been a long and involved process the first cerntral bank the bank of sweden was established more than 300 years ago the bank of england played an especially important role in the development of effective stabilization policies in the eighteenth and nineteenth centuries by the end of the nineteenth century banking panics had been eliminated in europe the last true panic in england was the overend gurney company crisis of 1866

money as stock abstract the fiscal theory determines the price level from the value of nominal government debt as a claim to government primary surpluses just as private stock is valued as a claim to corporate profits valuation equations are not constraints so this theory does not mistreat the government s intertemporal budget constraint i anchor the analysis in a simple cash in advance model when money demand falls to zero i show that the price level can still be determined by the government debt valuation equation

currency elasticity and banking panics theory and evidence existing models of banking panics contain no role for monetary factors and fail to explain why some banking systems experienced panics while others did not a monetary model is constructed where seasonal variations in the demand for liquidity and credit play a critical role in generating banking panics these panics occur when there are restrictions on the issue of currency in private banks but they do not occur if banks are unrestricted empirical evidence from canada and the united states for the period 1880 1910 is largely consistent with the predictions of the model

money financial stability and efficiency most analyses of banking crises assume that banks use real contracts however in practice contracts are nominal and this is what is assumed here we consider a standard banking model with aggregate return risk aggregate liquidity risk and idiosyncratic liquidity shocks we show that with non contingent nominal deposit contracts the first best efficient allocation can be achieved in a decentralized banking system what is required is that the central bank accommodates the demands of the private sector for fiat money variations in the price level allow full sharing of aggregate risks an interbank market allows the sharing of idiosyncratic liquidity risk in contrast idiosyncratic bank specific return risks cannot be shared using monetary policy alone real transfers are needed

the financial cycle and macroeconomics what have we learnt abstract it is high time we rediscovered the role of the financial cycle in macroeconomics in the environment that has prevailed for at least three decades now it is not possible to understand business fluctuations and the corresponding analytical and policy challenges without understanding the financial cycle this calls for a rethink of modelling strategies and for significant adjustments to macroeconomic policies this essay highlights the stylised empirical features of the financial cycle conjectures as to what it may take to model it satisfactorily and considers its policy implications in the discussion of policy the essay pays special attention to the bust phase which is less well explored and raises much more controversial issues

long memory and structural changes in the forward discount an empirical investigation abstract we analyze the evidence for long memory and structural changes in the five g7 countries forward discount we establish evidence for long memory by estimating the long memory parameter without allowing for structural breaks we also document evidence for multiple structural breaks in the mean of the forward discount we then adjust for structural changes in the forward discount rate and re estimate the long memory parameter after removing the breaks we still find evidence of stationary long memory in each country s forward discount

modeling and forecasting crude oil markets using arch type models this study investigates the time varying volatility of two major crude oil markets the west texas intermediate wti and europe brent a flexible autoregressive conditional heteroskedasticity arch model is used to take into account the stylized volatility facts such as clustering volatility asymmetric news impact and long memory volatility among others the empirical results indicate that the intensity of long persistence volatility in the wti is greater than in the brent it is also found that for the wti the appreciation and depreciation shocks of the wti have similar impact on the resulting volatility however a leverage effect is found in brent although both the estimation and diagnostic evaluations are in favor of an asymmetric long memory arch model only the wti models provide superior in the out of sample forecasts on the other hand from the empirical out of sample forecasts it appears that the simplest parsimonious generalized arch provides the best forecasted evaluations for the brent crude oil data

jump dynamics with structural breaks for crude oil prices this study investigates the joint phenomena of permanent and transitory components in conditional variance and jump intensity along with verification of structural breaks for crude oil prices we adopt a component arji model with structural break analysis utilizing daily data on west texas intermediate crude oil spot and futures contracts the analytical results verify the existence of permanent and transitory components in conditional variance with the permanent component of conditional variance increasing with the occurrence of a sudden major event such as the iraqi invasion of kuwait operation desert storm and the war between the us and iraq and a relatively greater increase in the transitory component over the same period notably jump intensity fluctuates with an increase in the transitory component of conditional variance in response to abnormal events it is the transitory component which serves as the primary influential factor for jumps in returns therefore speculators are willing to take large risks particularly with respect to anticipating future price movements or gambling in the hopes of rapidly making substantial gains thus speculators prefer the temporary volatility component and engage in trade activities however investors prefer the permanent volatility component because they may well be better off relocating their assets into more stable portfolios to outperform the market portfolio over the long run

opec announcements and their effects on crude oil prices we investigate evidence on the effects of opec announcements on world oil prices by examining announcements from both official conferences and ministerial meetings on major international crudes including the key benchmarks and several other heavy and light grades with data from 1982 to 2008 we use event study methodology and find differentiation in the magnitude and significance of market responses to opec quota decisions under different price bands we also find some weak evidence of differentiation between light and heavy crude grades

bank bailouts and aggregate liquidity governments sometimes bail out banks by recapitalizing them or by offering to insure their liabilities the government s goal may be to rescue borrowers bankers or depositors and economists have developed rationales why each of these constituencies may merit protection e g diamond 2001 these potential benefits have to be weighed against the costs of a bailout which are typically thought to be the damage to long run incentives that such intervention engenders in this paper we present a different effect of bank bailouts bank bailouts alter the availability of aggregate liquidity in the economy while a well targeted bailout can help rescue an otherwise collapsing banking system see diamond and rajan 2001a a poorly targeted bailout can even tip a banking system into a systemic crisis this ex post crisis cost of bank bailouts to the best of our knowledge has not been examined elsewhere and is the focus of this paper

the role of demandable debt in structuring optimal banking arrangements demandable debt finance by banks warrants explanation because it entails costs of bank suspension liquidation and idle reserve holdings an explanation is developed in which demandable debt provides incentive compatible intermediation where the banker has comparative advantage in allocating investment funds but may act against the interests of uninformed depositors demandable debt attracts funds by giving depositors an option to force liquidation its usefulness in transacting follows from information sharing between monitors and nonmonitors copyright 1991 by american economic association

monetary intervention mitigated banking panics during the great depression quasi experimental evidence from a federal reserve district border 1929 1933 the federal reserve act divided mississippi between the 6th atlanta and 8th st louis districts during the great depression these districts policies differed atlanta championed monetary activism and the extension of aid to ailing banks st louis eschewed expansionary initiatives during a banking crisis in 1930 atlanta expedited lending to banks in need st louis did not outcomes differed across districts in atlanta banks survived at higher rates lending continued at higher levels commerce contracted less and recovery began earlier these patterns indicate that central bank intervention influenced bank health credit availability and business activity

women and structural transformation development is at a relatively early stage 2 analysis of women s role as economic actors as distinct from being part of the labor force in general is still rudimentary 3 the extent to which and the conditions under which gender may influence a variety of economic outcomes are not well researched the nature and the extent of segmentation of economic activity between males and females and their changing roles in different socioeconomic settings and during the course of economic development are inadequately investigated in economic literature 4 consequently whether the efficiency and welfare losses from women s low participation in economic activity are significant in static and dynamic contexts is inadequately articulated much of the research on women in developed countries has been in a comparative static context 5 the changes in incomes technology demography and tastes with regard to women s roles however are not only much more rapid but also simultaneous in developing countries making research in a comparative static context of relatively little value the implications of the dynamic factors are analytically complex to handle but are critical for public policy even where policy implications are obvious from the existing limited research however these have not always been effectively incorporated by governments in their actions this article first summarizes the major themes of the various types

central bank collateral frameworks abstract this paper seeks to inform about a feature of monetary policy that is largely overlooked yet occupies a central role in modern monetary and financial systems namely central bank collateral frameworks their importance can be understood by the observation that the money at the core of these systems central bank money is injected into the economy on terms not defined in a market but by the collateral frameworks and interest rate policies of central banks using the collateral framework of the eurosystem as a basis of illustration and case study the paper brings to light the functioning reach and impact of collateral frameworks a theme that emerges is that collateral frameworks may have distortive effects on financial markets and the wider economy they can for example bias the private provision of real liquidity and thereby also the allocation of resources in the economy as well as contribute to financial instability evidence is presented that the collateral framework in the euro area promotes risky and illiquid collateral and more generally impairs market forces and discipline the paper also emphasizes the important role of ratings and government guarantees in the eurosystem s collateral framework

the effects of taxing bank transactions on bank credit and industrial growth evidence from latin america abstract this paper studies the bank credit and industry growth effects stemming from the introduction of a tax on bank debits using a sample of latin american countries that implemented this tax at different times between 1986 and 2005 i exploit a key channel through which this levy affects the supply of credit it creates a strong incentive to shift away from holding deposits and into using cash and other quasi currencies i find that taxing bank transactions has a significant negative effect on economic growth mainly by reducing the growth prospects of industries that are more susceptible to financing frictions

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

futures based forecasts how useful are they for oil price volatility forecasting oil price volatility forecasts have recently attracted the attention of many studies in the energy finance field the literature mainly concentrates its attention on the use of daily data using garch type models it is only recently that efforts to use more informative intraday data to forecast oil price realized volatility have been made despite all these previous efforts no study has examined the usefulness of futures based models for oil price realized volatility forecasting although the use of such models is extensive for oil price predictions this study fills this void and shows that futures based forecasts based on intra day data provide informative forecasts for horizons that span between 1 day and 66 days ahead more importantly these results hold true even during turbulent times for the oil market such as the global financial crisis of 2007 09 and the oil collapse period of 2014 15

a markov switching model of the conditional volatility of crude oil futures prices abstract this paper examines the temporal behaviour of volatility of daily returns on crude oil futures using a generalised regime switching model that allows for abrupt changes in mean and variance garch dynamics basis driven time varying transition probabilities and conditional leptokurtosis this flexible model enables us to capture many complex features of conditional volatility within a relatively parsimonious set up we show that regime shifts are clearly present in the data and dominate garch effects within the high volatility state a negative basis is more likely to increase regime persistence than a positive basis a finding which is consistent with previous empirical research on the theory of storage e g fama and french 1988a fama and french 1988b and ng and pirrong 1994 the volatility regimes identified by our model correlate well with major events affecting supply and demand for oil out of sample tests indicate that the regime switching model performs noticeably better than non switching models regardless of evaluation criteria we conclude that regime switching models provide a useful framework for the financial historian interested in studying factors behind the evolution of volatility and to oil futures traders interested short term volatility forecasts

monetary policy and bank profitability in a low interest rate environment we analyse the impact of standard and non standard monetary policy on bank profitability we use both proprietary and commercial data on individual euro area bank balance sheets and market prices our results show that a monetary policy easing a decrease in short term interest rates and or a flattening of the yield curve is not associated with lower bank profits once we control for the endogeneity of the policy measures to expected macroeconomic and financial conditions accommodative monetary conditions asymmetrically affect the main components of bank profitability with a positive impact on loan loss provisions and non interest income offsetting the negative one on net interest income a protracted period of low monetary rates has a negative effect on profits that however only materializes after a long time period and is counterbalanced by improved macroeconomic conditions monetary policy easing surprises during the low interest rate period improve bank stock prices and cds

forecasting crude oil market volatility further evidence using garch class models abstract this paper extends the work of kang et al 2009 we use a greater number of linear and nonlinear generalized autoregressive conditional heteroskedasticity garch class models to capture the volatility features of two crude oil markets brent and west texas intermediate wti the one five and twenty day out of sample volatility forecasts of the garch class models are evaluated using the superior predictive ability test and with more loss functions unlike kang et al 2009 we find that no model can outperform all of the other models for either the brent or the wti market across different loss functions however in general the nonlinear garch class models which are capable of capturing long memory and or asymmetric volatility exhibit greater forecasting accuracy than the linear ones especially in volatility forecasting over longer time horizons such as five or twenty days

money and interest in a cash in advance economy the authors analyze an aggregative general equilibrium model in which the use of money is motivated by a cash in advance constraint applied to purchases of a subset of consumption goods the system is subject to both real and monetary shocks which are economy wide and observed by all they develop methods for verifying the existence of characterizing and explicitly calculating equilibria copyright 1987 by the econometric society

forecasting crude oil market volatility further evidence with jumps this paper analyzes volatility models and their forecasting abilities in the presence of jumps in two crude oil markets brent and west texas intermediate wti between january 6th 1992 and december 31st 2014 we compare a number of garch type models that capture short memory as well as asymmetry garch gjr garch and egarch estimated on raw returns to three competing approaches that deal with the presence of jumps garch type models estimated on jump filtered returns and two new classes of volatility models called generalized autoregressive score gas and markov switching multifractal msm models estimated using raw returns the forecasting performance of these volatility models is evaluated using the model confidence set approach which allows us to identify a subset of models that outperform all the other competing models we find that asymmetric models estimated on filtered returns provide better out of sample forecasts than do garch gas type and msm models estimated on raw return series for brent and wti returns

estimating garch volatility in the presence of outliers garch volatilities depend on the unconditional variance which is a non linear function of the parameters consequently they can have larger biases than estimated parameters using robust methods to estimate both parameters and volatilities is shown to outperform maximum likelihood procedures

oil and energy price volatility it is commonly believed that since the 1973 oil crisis oil and energy prices have been more volatile than other commodity prices this study examines monthly producer prices for thousands of products over the period january 1945 through august 2005 the results show that crude oil refined petroleum and natural gas prices are more volatile than prices for about 95 of products sold by domestic producers relative to crude commodities however crude oil prices are currently more volatile than about 65 of other products and oil price volatility first exceeded the median for crude commodities following the 1986 drop in oil prices

the information content of money in forecasting euro area inflation this article contributes to the debate on the role of money in monetary policy by analysing the information content of money in forecasting euro area inflation we compare the predictive performance within and among various classes of structural and empirical models in a consistent framework using bayesian and other estimation techniques we find that money contains relevant information for inflation in some model classes money based new keynesian dynamic stochastic general equilibrium dsge models and vector autoregressions vars incorporating money perform better than their cashless counterparts but there are also indications that the contribution of money has its limits the marginal contribution of money to forecasting accuracy is often small money adds little to dynamic factor models and it worsens forecasting accuracy of partial equilibrium models finally nonmonetary models dominate monetary models in an all out horserace

monetary policy and long run systemic risk taking as an extension to the literature on the risk taking channel of monetary policy this paper studies the existence of a systemic risk taking channel srtc in the eurozone through an original macroeconomic perspective based on causality measures because the srtc is effective after an incubation period we make a distinction between short and long term causality following the methodology proposed by dufour and taamouti 2010 we find that causality from monetary policy to systemic risk while not significant in the very short term robustly represents 75 to 100 of the total dependence between the two variables in the long run reverse causality is rejected systemic risk did not influence the policy of the european central bank before the global financial crisis however central banks must be aware that a too loose monetary policy stance may be conducive to a build up of systemic risk

is beta t egarch 1 1 superior to garch 1 1 statistical performance in sample point forecast precision and out of sample density forecast precision of garch 1 1 and beta t egarch 1 1 models are compared we study the volatility of nine gl

jumps and stochastic volatility in oil prices time series evidence abstract in this paper we examine the empirical performance of affine jump diffusion models with stochastic volatility in a time series study of crude oil prices we compare four different models and estimate them using the markov chain monte carlo method the support for a stochastic volatility model including jumps in both prices and volatility is strong and the model clearly outperforms the others in terms of a superior fit to data our estimation method allows us to obtain a detailed study of oil prices during two periods of extreme market stress included in our sample the gulf war and the recent financial crisis we also address the economic significance of model choice in two option pricing applications the implied volatilities generated by the different estimated models are compared and we price a real option to develop an oil field our findings indicate that model choice can have a material effect on the option values

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

the gender dimensions of economic adjustment policies potential interactions and evidence to date abstract many developing countries have implemented stabilization and structural adjustment programs over the last 20 years the success of these programs depends critically on individual level responses to changing economic incentives access to control of and an ability to move productive economic resources between sectors is determined in part by gender if an individual s gender impedes their ability to fully participate in the economic adjustment process by inhibiting resource access control or movement adjustment will be impaired this paper discusses the potential gender dimensions of structural adjustment policies and examines the evidence to dale

crude oil price analysis and forecasting a perspective of new triangle abstract in this paper the new structural characteristics and core influencing factors of the crude oil prices are summarized based on previous representative research results firstly a newly dynamic bayesian structural time series model dbsts is developed to investigate the oil prices in particular google trend is introduced as an indicator to reflect the impact of search data on the oil price secondly the spike and slab method is employed to select core influence factors finally the bayesian model average bma is utilized to predict the oil price experimental results confirm that the supply and demand of global crude oil and the financial market are still the main factors affecting the oil price furthermore google trend can reflect the changes in the crude oil price to a certain extent moreover the impact of shale oil production on the oil price is gradually increasing yet remains relatively small in addition the dbsts model can identify turning points in historical data such as the 2008 financial crisis finally the findings suggest the dbsts model has good predictive capabilities in short term prediction making it suitable for analyzing the crude oil prices

arresting banking panics federal reserve liquidity provision and the forgotten panic of 1929 scholars differ on whether central bank intervention mitigates banking panics in april 1929 a fruit fly infestation in florida forced the u s government to quarantine fruit shipments from the state and destroy infested groves in july depositors panicked in tampa and surrounding cities the federal reserve bank of atlanta rushed currency to member banks beset by runs we show that this intervention arrested the panic and estimate that bank failures would have been twice as high without the federal reserve s intervention our results suggest that similar interventions may have reduced bank failures during the great depression

modeling and forecasting the volatility of petroleum futures prices we investigate volatility models and their forecasting abilities for three types of petroleum futures contracts traded on the new york mercantile exchange west texas intermediate crude oil heating oil 2 and unleaded gasoline and suggest some stylized facts about the volatility of these futures markets particularly in regard to volatility persistence or long memory properties in this context we examine the persistence of market returns and volatility simultaneously using the following arfima garch class models arima garch arfima garch arfima igarch and arfima figarch although the arfima figarch model better captures long memory properties of returns and volatility the out of sample analysis indicates no unique model for all three types of petroleum futures contracts suggesting that investors should be careful when measuring and forecasting the volatility risk of petroleum futures markets

liquidity shortages and banking crises we show in this article that bank failures can be contagious unlike earlier work where contagion stems from depositor panics or contractual links between banks we argue that bank failures can shrink the common pool of liquidity creating or exacerbating aggregate liquidity shortages this could lead to a contagion of failures and a total meltdown of the system given the costs of a meltdown there is a possible role for government intervention unfortunately liquidity and solvency problems interact and can cause each other making it hard to determine the cause of a crisis we propose a robust sequence of intervention banks are often found at the center of systemic financial crises the causes of these crises have long been debated do they stem from depositor panics or do they arise because bank balance sheets are exposed to common factors if it is the latter then is there any sense in which bank failures can be contagious can anything be done to prevent these crises or stop them from propagating once they begin our purpose in this paper is to reexamine whether bank failures can start and propagate systemic crises even if we assume that depositors do not panic that is even if depositors actions are coordinated and they do not run simply because they fear others will run our focus is not because we think that panics are empirically unimportant the jury is still out on that instead we show that contagion can stem from an underlying real general equilibrium problem rather than just from lack of coordination among depositors from a policy perspective attempts to reassure investors through confidence building measures will not work if panic and lack of coordination are not the reasons for a crisis we begin in this paper with a model of a bank that we developed in diamond and rajan 2001 assets in this model are illiquid they cannot be borrowed against or sold for the full value of resources they will generate in their best use because the human capital necessary to generate that full value cannot

jumps in financial markets a new nonparametric test and jump dynamics this paper introduces a new nonparametric test to detect jump arrival times and realized jump sizes in asset prices up to the intra day level we demonstrate that the likelihood of misclassiflcation of jumps becomes negligible when we use high frequency returns using our test we examine jump dynamics and their distributions in the u s equity markets the results show that individual stock jumps are associated with prescheduled earnings announcements and other company speciflc news events additionally s p 500 index jumps are associated with general market news announcements this suggests difierent pricing models for individual equity options versus index op

excessive dollar debt financial development and underinsurance we propose that the limited financial development of emerging markets is a significant factor behind the large share of dollar denominated external debt present in these markets we show that when financial constraints affect borrowing and lending between domestic agents agents undervalue insuring against an exchange rate depreciation since more of this insurance is present when external debt is denominated in domestic currency rather than in dollars this result implies that domestic agents choose excessive dollar debt we also show that limited financial development reduces the incentives for foreign lenders to enter emerging markets the retarded entry reinforces the underinsurance problem

oil prices and economic activity an asymmetric cointegration approach the aim of this paper is to study the long term relationship between oil prices and economic activity proxied by gdp to account for asymmetries existing in the links between the two variables we propose an approach based on asymmetric cointegration our empirical analysis concerns the u s economy but also the g7 europe and euro area economies results indicate that while standard cointegration is rejected there is evidence for asymmetric cointegration between oil prices and gdp

capital regulation and monetary policy with fragile banks optimizing banks subject to runs are introduced in a macro model to study the transmission of monetary policy and its interplay with bank capital regulation when banks are risky a monetary expansion and a positive productivity shock increase bank leverage and risk risk based capital requirements amplify the cycle and are welfare detrimental within a class of simple policy rules the best combination includes mildly anticyclical capital ratios as in basel iii and a response of monetary policy to asset prices or bank leverage

commercialization of smallholder agriculture policy requirements for the malnourished poor abstract the nutritional impact of increased commercialization of smallholder agriculture in developing countries while generally positive may in certain circumstances be unfavourable adverse policies tend to be the problem in these circum stances the international food policy research institute has conducted re search to identify the key factors in this process and in march 1989 conducted a workshop in guatemala for researchers and policy makers this report summarizes the findings and policy recommendations that emerged

money and banking in a cash in advance economy this paper studies banking and financial innovations in a stochasti c general equilibrium model assuming the existence of two distinct types of goods cash goods which can only be purchased by cash and check goods which can also be purchased by checks drawn against interest bearing bank accounts the authors analyze the effects of changes in the payment s structure i e the share of check goods reserve requirements on banks and changes in the supply of reserves the authors find e g that an increased share of check goods and a decrease of the bank reserve ratio in general both lead to a decrease in the variance of the price level copyright 1988 by economics department of the university of pennsylvania and the osaka university institute of social and economic research association