comparative statics and asset substitutability complementarity in a portfolio model a dual approach this article uses a dual approach to investigate the properties of an n asset portfolio model the indirect expected utility and expenditure functions are used to provide an extremely simple derivation of slutsky equations by obtaining results similar to roy s identity and shephard s lemma the substitutability complementarity relations among assets are investigated and a number of empirically testable implications are deduced from the properties of the expenditure function

optimal dynamic pricing of inventories with stochastic demand over finite horizons in many industries managers face the problem of selling a given stock of items by a deadline we investigate the problem of dynamically pricing such inventories when demand is price sensitive and stochastic and the firm s objective is to maximize expected revenues examples that fit this framework include retailers selling fashion and seasonal goods and the travel and leisure industry which markets space such as seats on airline flights cabins on vacation cruises and rooms in hotels that become worthless if not sold by a specific time we formulate this problem using intensity control and obtain structural monotonicity results for the optimal intensity resp price as a function of the stock level and the length of the horizon for a particular exponential family of demand functions we find the optimal pricing policy in closed form for general demand functions we find an upper bound on the expected revenue based on analyzing the deterministic version of the problem and use this bound to prove that simple fixed price policies are asymptotically optimal as the volume of expected sales tends to infinity finally we extend our results to the case where demand is compound poisson only a finite number of prices is allowed the demand rate is time varying holding costs are incurred and cash flows are discounted the initial stock is a decision variable and reordering overbooking and random cancellations are allowed

how investible is bitcoin analyzing the liquidity and transaction costs of bitcoin markets abstract we examine the investibility of bitcoin by exploring the trading dynamics and market microstructure of bitcoin on three us cryptocurrency exchanges using high frequency intraday data of individual trades and quotes although all exchanges offer continuous trading we find that the highest trading activity highest volatility and lowest spreads coincide with us market trading hours suggesting that most trades are non algorithmic and executed by retail investors we further find that average quoted and effective spreads for bitcoin are lower than spreads on major equity exchanges implying that bitcoin is highly investible for retail size transactions

trading patterns and prices in the interbank foreign exchange market the behavior of quote arrivals and bid ask spreads is examined for continuously recorded deutsche mark dollar exchange rate data over time across locations and by market participants a pattern in the intraday spread and intensity of market activity over time is uncovered and related to theories of trading patterns models for the conditional mean and variance of returns and bid ask spreads indicate volatility clustering at high frequencies the proposition that trading intensity has an independent effect on returns volatility is rejected but holds for spread volatility conditional returns volatility is increasing in the size of the spread there is a growing body of theoretical studies on the pattern of trading activity in financial markets with implications for the time series behavior of transactions prices and intensity of trading the empirical literature addressing similar concerns using intraday market data appropriate for such tasks is sparse particularly in the area of the trading of currencies the purpose of this paper is to examine both international patterns of intraday trading activity and the time series properties of returns and bid ask spreads for the deutsche mark dollar exchange rate in the interbank foreign exchange market the goal is to provide information useful in the further development of market microstructure models of trading and to compare empirical findings against theoretical results already in existence the foreign exchange market is in operation twenty four hours a day seven

every minute counts in financial markets abstract this paper represents an introductory study of ultra high frequency minuute by minute data for forex spot rates bid ask reuters quotes on three days autumn 1987 the frequency of price revision size of spread and statistical characteristics are measured the series exhibit time varying leptokurtosis unit roots and first order negative correlation the latter especially in disturbed jumpy markets the effect of time aggregation on these characteristics is examined and variance ratios are analyzed multivariate analysis revealed significant relationships between lagged exchange rates both the own rate and the key deutsche mark us dollar rate and the current spot rate

jumps cojumps and macro announcements we use recently proposed tests to extract jumps and cojumps from three types of assets stock index futures bond futures and exchange rates we then characterize the dynamics of these discontinuities and informally relate them to us macroeconomic releases before using limited dependent variable models to formally model how news surprises explain co jumps nonfarm payroll and federal funds target announcements are the most important news across asset classes trade balance shocks are important for foreign exchange jumps we relate the size frequency and timing of jumps across asset classes to the likely sources of shocks and the relation of asset prices to fundamentals in the respective classes

reducing the cost of demand uncertainty through accurate response to early sales traditionally fashion products have incurred high losses due to stockouts and inventory obsolence because long lead times coupled with a concentrated selling season force all or at least most production to be committed before demand information is available under a quick response system lead times are shortened sufficiently to allow a greater portion of production to be scheduled in response to initial demand we model and analyze the decisions required under quick response and give a method for estimating the demand probability distributions needed in our model we applied these procedures with a major fashion skiwear firm and found that cost relative to the current informal response system was reduced by enough to increase profits by 60 relative to the cost that would have been incurred if no response were used optimized response reduces cost by enough to roughly quadruple profits

real time effects of central bank interventions in the euro market abstract this paper investigates the real time effects of sterilized foreign exchange intervention using official intraday intervention data provided by the danish central bank our analysis employs a two step weighted least squares estimation procedure we control for macro surprises address the issue of endogeneity and carry out an array of robustness tests only when the direction of intervention is consistent with the monetary policy stance do we find that intervention exerts a significant influence on exchange rate returns

efficient supply contracts for fashion goods with forecast updating and two production modes we examine the problem of developing supply contracts that encourage proper coordination of forecast information and production decisions between a manufacturer and distributor of high fashion seasonal products operating in a two mode production environment the first production mode is relatively cheap but requires a long lead time while the second is expensive but offers quick turnaround we focus on contracts of the form w1 w2 b wherewi is the wholesale price offered for production modei andb is a return price offered for items left over at the end of the season we find that such a contract can coordinate the manufacturer and distributor to act in the best interest of the channel the pricing conditions needed to ensure an efficient solution vary depending on the degree of demand forecast improvement between periods and the manufacturer s access to forecast information we also examine whether these conditions ensure a pareto optimal solution with respect to two traditional production settings

segmentation and time of day patterns in foreign exchange markets abstract this paper sheds light on a puzzling pattern in spot foreign exchange markets domestic currencies appreciate depreciate systematically during foreign domestic working hours this phenomenon spans many years and several exchange rates and overrides calendar effects we argue that it is mainly due to liquidity and inventory patterns that emerge from the combination of two factors domestic agents tend to be net buyers of foreign currency and to trade mostly in their country s working hours the prevalence of domestic foreign traders demanding the counterpart currency during domestic foreign working hours implies sell price buy price pressure on the domestic currency during domestic foreign working hours

managing product families the case of the sony walkman abstract success in fast cycle industries e g consumer electronics can depend both on rapid model replacement and on model longevity although sony was as fast as any of its chief competitors in getting new models to market an important explanation for the wide variety of models offered by the firm is the greater longevity of its key models this finding adds an important insight to the conventional literature on time based competition which emphasizes rapid innovation exclusively sony s special understanding of the us market enabled it to respond more effectively to life style differences by locating industrial designers in its key markets sony s strong design capability and effective division of labor engineers lead generational and incremental projects industrial designers and market personnel lead topological projects allow for parallel model development investment in manufacturing flexibility amortized over multiple models within the product family make the rapid model changeover possible

the intraday bid ask spread behaviour of the jpy usd exchange rate in the ebs electronic brokerage system using a sophisticated tool of the periodic generalized autoregressive conditional heteroscedastic p garch model this article investigates the market institutional effects of the determining role of trading activities and exchange rate volatility on the intraday behaviour of the 15 minute jpy usd exchange rate bid ask spreads in the electronic broking service ebs of electronic brokerage market for the period from 1 january 2003 to 31 december 2005 we find that the exchange rate volatility both significantly and positively affects the bid ask spreads while the number of deals and quotation changes negatively affect the bid ask spreads these results are similar to those of past studies we also find that a u shaped pattern exists in the tokyo trading hours and an inverted u shaped pattern in the london trading hours in addition to a round clock inverted u shaped pattern of spread volatility this inverted u shaped pattern may be caused by unexpected news arrivals the spread behaviour of the ebs glo

doing the right thing or doing the thing right allocating resources between marketing research and manufacturing matching production with sales potential is essential for survival in volatile markets manufacturing and marketing managers compete for staff space cash and other assets as they struggle both to determine what and how many products ought to be produced and to actually produce them we develop an analytical framework to answer one simple question how much marketing research should a firm do when it takes resources away from manufacturing the goods that generate revenue to understand the costs and benefits of marketing research we account for the lost opportunities to produce these goods some analytical findings are striking firms without initial knowledge of their potential customers should allocate one third of the firm s resources to marketing research the model suggests a host of issues to be more deeply studied by management scientists

a note on budget allocation for market research and advertising abstract firms that introduce new products often conduct market research to reduce the substantial uncertainty in demand when a fixed budget is assigned to marketing oriented activity investments in market research must be balanced against other advertising expenses we characterize a firm s optimal marketing and production decisions for a new product the larger a firm s production cost the higher is the cost associated with unsold products market research increases the forecast accuracy and thus reduces the risk of overage as a consequence one might expect that a firm s investment in market research should be higher if it faces higher production costs interestingly we find that an increase in the production cost may sometimes lead to a decrease in the optimal investment in market research even when the marketing budget is not restrictive

forecasting daily exchange rate volatility using intraday returns abstract this study investigates whether intraday returns contain important information for forecasting daily volatility whereas in the existing literature volatility models for daily returns are improved by including intraday information such as the daily high and low volume the number of trades and intraday returns here the volatility of intraday returns is explicitly modelled daily volatility forecasts are constructed from multiple volatility forecasts for intraday intervals it is shown for the dem usd and the yen usd exchange rates that this results in superior forecasts for daily volatility

feedback traders and stock return autocorrelations evidence from a century of daily data the authors investigate whether the degree of autocorrelation shown by high frequency stock returns changes with volatility this may result from nontrading effects feedback trading strategies or variable risk aversion the authors results indicate that when volatility is low daily and hourly stock returns exhibit positive autocorrelation but when it is high returns exhibit negative serial correlation they also find an important asymmetry negative serial correlation is more likely after price declines this is consistent with price declines being more likely to induce positive feedback trading the authors also find no significant relation between margin requirements and the autocorrelation of returns copyright 1992 by royal economic society

meteor showers or heat waves heteroskedastic intra daily volatility in the foreign exchange market this paper seeks to explain the causes of volatility clustering in exchange rates careful examination of intra daily exchange rates provides a test of two hypotheses heat waves and meteor showers the heat wave hypothesis is that the volatility has only country specific autocorrelation alternatively the meteor shower is a phenomenon of intra daily volatility spillovers from one market to the next using the garch model to specify the heteroskedasticity across intra daily market segments we find that the empirical evidence is generally against the null hypothesis of the heat wave using a volatility type of vector autoregression we examine the impact of news in one market on the time path of per hour volatility in other markets

the price variability volume relationship on speculative markets this paper concerns the relationship between the variability of the daily price change and the daily volume of trading on the speculative markets our work extends the theory of speculative markets in two ways first we derive from economic theory the joint probability distribution of the price change and the trading volume over any interval of time within the trading day and second we determine how this joint distribution changes as more traders enter or exit from the market the model s parameters are estimated by fiml using daily data from the 90 day t bills futures market the results of the estimation can reconcile a conflict between the price variability volume relationship for this market and the relationship obtained by previous investigators for other speculative markets this paper concerns the relationship between the variability of the daily price change and the volume of trading on speculative markets previous empirical studies 2 3 6 12 14 16 of both futures and equity markets always find a positive association between price variability as measured by the squared price change ap2 and the trading volume 2 there are two explanations for the relationship clark s 2 explanation which is secondary to his effort to explain why the probability distribution of the daily price change is leptokurtic emphasizes randomness in the number of within day transactions in clark s model the daily price change is the sum of a random number of within day price changes the variance of the daily price change is thus a random variable with a mean proportional to the mean number of daily transactions clark argues that the trading volume is related positively to the number of within day transactions and so the trading volume is related positively to the variability of the price change the second explanation is due to epps and epps 6 their model examines the mechanics of within day trading the change in the market price on each within day transaction or market clearing is the average of the changes in all of the traders reservation prices epps and epps assume there is a positive relationship between the extent to which traders disagree when they revise their reservation prices and the absolute value of the change in the market price that is an increase in the extent to which traders disagree is associated with a larger absolute price change the price variability volume relationship arises then because the volume of trading is positively related to the extent to which traders disagree when they revise their reservation prices

dynamic product portfolio management with life cycle considerations we consider a portfolio of products in which each product probabilistically transitions through various life cycle stages the evolution through these life cycle stages is impacted by both marketing support and product launch decisions which are bound by a financial constraint in the form of restricted working capital in the model the joint working capital level serves to finance the portfolio expenditures and is decided a priori by the company we use an infinite horizon markov decision process mdp to find the optimal decisions to coordinate the operations and finance depending on the composition of the portfolio we find that the policy optimizing the product launch marketing support and inventory decisions under a working capital constraint is independent of the correlation between demand levels of the products in the portfolio we numerically demonstrate that the joint management of the products has a significant positive effect on the total profit reducing the amount of working capital used per product we also show that the optimal policy smooths aggregated demand levels as well as cash flows

supply and demand uncertainty reduction efforts and cost comparison abstract in industries like health care consumer goods and agriculture shortages are widely observed and the consequences can be costly one of the main drivers of such shortages is the uncertain nature of supply and demand to reduce uncertainties sufficient information about supply and demand can be obtained by gathering relevant data e g auditing suppliers and conducting market research in this paper we conduct an analysis to examine the impacts of supply uncertainty demand uncertainty and uncertainty reduction efforts on production quantity and total cost we show that in the absence of uncertainty reduction efforts when the financial consequences of shortages are large or when the unit benefit is large supply uncertainty is more costly than demand uncertainty in addition exerting supply uncertainty reduction effort always causes the firm to produce fewer units than exerting demand uncertainty reduction effort although supply uncertainty reduction effort delivers a larger degree of improvement to total cost and hence is more efficient reduced supply uncertainty still leads to a higher system cost than does reduced demand uncertainty

flexible exchange rates a closer look abstract the stochastic properties of flexible exchange rates are investigated by looking at a sample of intradaily sfr quotes for 231 trading days in 1983 estimated moments of the distribution of returns over five minute intervals often exhibit large changes which are mostly unpredictable even from one day to the next autocorrelation in returns is generally absent even inside a given day specific days of the week do not exhibit any special characteristics during a single day both relative changes in exchange rates as well as their volatility show some distinct patterns

volatility in the foreign currency futures market we examine the volatility implications of around the clock foreign exchange trading with transaction data on futures contracts from the chicago mercantile exchange and the london international financial futures exchange we find higher u s european and u s japanese exchange rate volatilities during u s trading hours and higher european cross rate volatilities during european trading hours while the diclosure of private information through trading may partly explain these volatility patterns we conclude that the increased volatility is more likely driven by macroeconomic news announcements an analysis of inter and intraday data also reveals that volatility increases at times that coincide with the release of u s macroeconomic news article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

intra day and inter market volatility in foreign exchange rates four foreign exchange spot rate series recorded on an hourly basis for a six month period in 1986 are examined a seasonal garch model is developed to describe the time dependent volatility apparent in the percentage nominal return of each currency hourly patterns in volatility are found to be remarkably similar across currencies and appear to be related to the opening and closing of the worlds major markets robust lm tests designed to deal with the extreme leptokurtosis in the data fails to uncover any evidence of misspecification or the presence of volatility spillover effects between the currencies or across markets

intertemporal risk return tradeoff in the short run abstract we hypothesize that good bad market news causes overpricing underpricing in the short term thereby inducing a weak or negative significantly positive intertemporal risk return tradeoff we verify this asymmetry through the indirect relation of a weak or positive association between excess market returns and contemporaneous volatility innovations conditional on good news and a significantly negative relation conditional on bad news we also show that the inclusion of a price adjustment term is critical for reliable estimation of the intertemporal risk return relation

heteroskedasticity in stock return data volume versus garch effects this paper provides empirical support for the notion that autoregressive conditional heterqskedasticity arch in daily stock return data reflects time dependence in the process generating information flow to the market daily trading volume used as a proxy for information arrival time is shown to have significant explanatory power regarding the variance of daily returns which is an implication of the assumption that daily returns are subordinated to intraday equilibrium returns furthermore arch effects tend to disappear when volume is included in the variance equation the autoregressive conditiqnal heteroskedasticity arch process of engle 1982 has been shown to provide a good fit for many financial return time series 1 arch imposes an autoregressive structure on conditional variance allqwing volatility shocks to persist over time this persistence captures the propensity of returns of like magnitude to clu ter in time and can explain the well documented nonnormality and nonstability of empirical asset return distributions see especially fama 1965 an appealing explanation for the presence of arch is based upon the hypothesis that daily returns are generated by a maiture of distributions in which the rate of daily information arrival is the stochastic mixing variable as suggested by diebold 1986 gallant hsieh and tauchen 1988 and stock 1987 1988 arch might capture the time series properties e g serial correlation of this mixing variable hqwever this linkage has not been broadly documented with the datia the objective of this study is to examine the validity of this explanation for daily stock returns the empirical strategy exploits the implication of the mixture model that the variance of daily price increments is heteroskedastic specifically positively related to the rate of daily information arrival using daily trading volume as a proxy for the mixing variable we show that for a sample of 20 common stocks arch effects vanish when volume is included as an explanatory variable in the conditional variance equation

trading volume and serial correlation in stock returns this paper investigates the relationship between aggregate stock market trading volume and the serial correlation of daily stock returns for both stock indexes and individual large stocks the first order daily return autocorrelation tends to decline with volume the paper explains this phenomenon using a model in which risk averse market makers accommodate buying or selling pressure from liquidity or noninformational traders changing expected stock returns reward market makers for playing this role the model implies that a stock price decline on a high volume day is more likely than a stock price decline on a low volume day to be associated with an increase in the expected stock return

risk aversion market liquidity and price efficiency a model of a noncompetitive speculative market is analyzed in which privately informed traders and market makers are risk averse market liquidity is found to be nonmonotonic in the number of informed traders their degree of risk aversion and the precision of their information it is also shown that increased liquidity trading leads to reduced price efficiency and that under endogenous information acquisition market liquidity may also be nonmonotonic in the variance of liquidity trades article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies