the valuation of european options in uncertain environment abstract a new model on european options with uncertainty of both randomness and fuzziness in output is presented by introducing fuzzy logic to the stochastic financial model the randomness and fuzziness in the systems are evaluated by both probabilistic expectation and fuzzy expectation taking account of seller s buyer s subjective judgment prices of european call put options with uncertainty are given and their valuation and properties are discussed under a reasonable assumption this paper demonstrates black scholes formula to give rational expected price of the european options and buyer s writer s seller s permissible range of expected prices the meaning and properties of rational expected prices are discussed in a numerical example the hedging strategies are also considered for marketability of the european options for portfolio selection

determining the optimal carbon tax rate based on data envelopment analysis carbon tax policy is widely used to control greenhouse gases and how to determine a suitable carbon tax rate is very important for policy makers considering the trade off between environmental protection and economic development in an industry regulated by carbon tax policy we consider two competing firms who sell ordinary products and green products respectively in order to promote the firm who sells ordinary product to reduce carbon emissions the government of china imposes carbon tax on the ordinary products for the government three objectives are considered when it makes carbon tax policy they are increasing the government revenue reducing the government expenditure and decreasing the carbon emissions for the firms it is important to explore their pricing strategies taken into account of the government tax policy to find an optimal carbon tax rate and to achieve the three objectives simultaneously we consider this as a multiple criteria decision making problem hence we propose to use a centralized data envelopment analysis dea approach to solve it we find that when one firm produces ordinary products and the other produces green products the government may set a high tax rate while when both firms sell ordinary products the optimal tax policy for each firm is different and the government may impose a higher tax rate for one firm and a lower tax rate for the other firm

the sustainable supply chain network competition with environmental tax policies abstract this paper captures different environmental tax policies in a multi tiered supply chain network competition context we derive the governing equilibrium conditions for the noncooperative game theory models for each firm and provide the equivalent variational inequality formulations the numerical examples investigate the impacts of emission tax policies and product differentiation on the competing firms and compare the effects of different environmental policies flat emission tax rates progressive emission taxes and the government command and control regulations with emission standards on equilibrium product demands prices total emissions and overall profits the computational results indicate that the implementation of environmental tax policies along with an increase in consumers environmental concerns can not only motivate the firms to perform sustainable operations but also reduce the total carbon footprint furthermore the low cost progressive emission tax policies can be as effective as the high flat emission tax rate in terms of reduction in carbon footprint therefore the model developed in this paper can be used by the policymakers and the firms to evaluate the effects of different environmental tax policies in a supply chain competition context

research advances in environmentally and socially sustainable operations abstract consumers and governments are pressuring firms to strike a balance between profitability and sustainability however this balance can only be maintained in the long run if the firm can take a holistic approach to sustain the financial flow profit resource flow planet and development flow people for the entire ecosystem comprising poor producers in emerging developing markets global supply chain partners consumers in developed countries and the planet by considering the flows associated with different entities within the ecosystem we classify and summarize recent operations research management science or ms research developments also we identify several gaps for future research in this important area

trend growth expectations and u s house prices before and after the crisis abstract we provide an analysis that might help distinguish rationally justified movements in house prices from potentially non rational movements using a two sector business cycle model in which investment in housing is subject to collateral constraints a large portion of the evolution of u s house prices during the past 20 years can be reproduced when expectations of future income growth as published in surveys are used as an input into the model changes in growth expectations translate into corresponding changes in house prices since the value of housing must be linked to expected aggregate income only since about 2005 do actual and model implied house prices clearly diverge calling for explanations not based on economic fundamentals

the multinomial option pricing model and its brownian and poisson limits the cox ross and rubinstein binomial model is generalized to the multinomial case limits are investigated and shown to yield the blacks scholes formula in the case of continuous sample paths for formula in the case of complete market structures in the discontinuous case a merton type formula is shown to result provided jump probabilities are replaced by their corresponding arrow debreu prices article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

evaluating natural resource investments notwithstanding impressive advances in the theory of finance over the past 2 decades practical procedures for capital budgeting have evolved only slowly the standard technique which has remained unchanged in essentials since it was originally proposed see dean 1951 bierman and smidt 1960 derives from a simple adaptation of the fisher 1907 model of valuation under certainty under this technique expected cash flows from an investment project are discounted at a rate deemed appropriate to their risk and the resulting present value is compared with the cost of the project this standard textbook technique reflects modern theoretical developments only insofar as estimates of the discount rate may be obtained from crude application of single period asset pricing theory but see brennan 1973 bogue and roll 1974 turnbull 1977 constantinides 1978 the inadequacy of this approach to capital budgeting is widely acknowledged although not widely discussed its obvious deficiency is its the evaluation of mining and other natural resource projects is made particularly difficult by the high degree of uncertainty attaching to output prices it is shown that the techniques of continuous time arbitrage and stochastic control theory may be used not only to value such projects but also to determine the optimal policies for developing managing and abandoning them the approach may be adapted to a wide variety of contexts outside the natural resource sector where uncertainty about future project revenues is a paramount concern

sustainable consumption and production in the food supply chain a conceptual framework abstract increased globalization and a growing world population have a great impact on the sustainability of supply chains especially within the food industry the way food is produced processed transported and consumed has a great impact on whether sustainability is achieved throughout the whole food supply chain due to the complexity that persists in coordinating the members of food supply chain food wastage has increased over the past few years to achieve sustainable consumption and production scp food industry stakeholders need to be coordinated and to have their views reflected in an optimized manner however not much research has been done concerning the influence of stakeholders and supply chain members coordination in the food industry s scp context to facilitate the theory development for scp in this work a short literature review on sustainable supply chain management and sustainable supply chains in the food industry is provided to give the reader current knowledge on how the past and current research are introduced in this work following that different theories that drive sustainable consumption and production have been identified and focused as a result theories like the institutional theory dynamic capability theory and stakeholder theory are presented additionally a conceptual framework has been developed by identifying the indicators drivers and barriers based on the stakeholder theory to achieve the scp in food supply chain finally limitations and future scope are discussed

a case analysis of a sustainable food supply chain distribution system a multi objective approach abstract sustainable supply chain management is a topical area which is continuing to grow and evolve within supply chains downstream distribution from producers to customers plays a significant role in the environmental performance of production supply chains with consumer consciousness growing in the area of sustainable food supply food distribution needs to embrace and adapt to improve its environmental performance while still remaining economically competitive with a particular focus on the dairy industry a robust solution approach is presented for the design of a capacitated distribution network for a two layer supply chain involved in the distribution of milk in ireland in particular the green multi objective optimisation model minimises co2 emissions from transportation and total costs in the distribution chain these distribution channels are analysed to ensure the non dominated solutions are distributed along the pareto fronts a multi attribute decision making approach topsis has been used to rank the realistic feasible transportation routes resulting from the trade offs between total costs and co2 emissions the refined realistic solution space allows the decision makers to geographically locate the sustainable transportation routes in addition to geographical mapping the decision maker is also presented with a number of alternative analysed scenarios which forcibly open closed distribution routes to build resiliency into the solution approach in terms of model performance three separate ga based optimisers have been evaluated and reported upon in the case presented nsga ii was found to outperform its counterparts of moga ii and hybrid

imposing emission trading scheme on supply chain separate and joint implementation abstract in response to global warming it is urgent to control and reduce greenhouse gas ghg emissions especially from the supply chain perspective the most often discussed topic in this domain indicates that emission trading scheme ets could be employed as one of policy instruments for supply chain emissions management via mathematical models scholars have shown that the employment of emission trading is affecting supply chain performances both environmental and economic in different levels however previous literature focus on the cost effectiveness analysis only from the mathematical aspect to provide policy makers and companies with the theoretical bases on this hot topic it is significant to discuss how ets one of market based instruments could be imposed in the context of supply chain from the mechanical point of view by incorporating ideas from relevant literature this paper generates two concepts modes in imposing ets on supply chain jointly imposed supply chain emission trading e g jointly imposed sc ets and separately imposed supply chain emission trading e g separately imposed sc ets it illustrates the working principles of both concepts modes and conducts a sandbox example to analyze the cost effectiveness of them furthermore this paper discusses the challenges and opportunities of implementing two modes from practical aspects results of quantitative analysis and discussion show that for the sake of both policy makers and supply chain companies the separately imposed sc ets allowing selling permits would be so far the better mode to manage supply chain ghg emissions compared to the jointly imposed sc ets

lender screening and the role of securitization evidence from prime and subprime mortgage markets this article examines the link between mortgage securitization and lender screening during the boom and bust of the u s housing market using comprehensive data on both prime and subprime securitized and bank held loans we provide evidence that securitization affected lenders screening decisions in the subprime market for low documentation loans through two channels the securitization rate and the time it takes to securitize a loan the change in decision making by subprime lenders occurs on dimensions that are unreported to investors examining the time series evolution of the securitization market further reinforces these findings we exploit heterogeneity across subprime and prime markets to illustrate that the potential for moral hazard may be reduced with greater collection of hard information and increased monitoring of lenders our results suggest that the policy debate regarding securitization and lenders underwriting standards should separately evaluate the agency and non agency markets with special attention toward the extent of soft information in assets being securitized the author 2012 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

optimal carbon taxes for china and implications for power generation welfare and the environment abstract china is expected to constitute about half of the world s emissions between 2010 and 2040 as concerns about climate change intensify the chinese government is poised to commit to a low carbon economy these conditions make china a suitable case in which to study how emission policies impact on energy supply welfare and the environment to achieve this purpose we incorporate abatement technologies into the gtap computable general equilibrium model and show that optimal taxes range between 0 03 for services and 2 02 for manufacturing in most cases simulated tax rates are by far higher than pollution taxes stipulated in the new chinese environmental tax law furthermore despite a decline in output of many sectors including the electricity sector overall welfare gains exist from introducing carbon taxes moreover these taxes reduce environmental pollution by approximately 62 5 in general carbon taxes are insufficient for mitigation in china and due to a coal dominant energy structure implementing these taxes leads to a decline in power generation hence the chinese aggressive investment strategy for renewable electricity technologies as stipulated in its 13th five year plan is understandable

on the design of optimal grandfathering schemes for emission allowances to meet its commitment under the kyoto protocol the eu plans to implement an emissions trading system whith grandfathering of allowances besides having distributional impacts the choice of the grandfathering scheme may affect efficiency if firms anticipate how future allocations depend on upcoming decisions in this paper we determine central design rules for optimal grandfathering within a simple two period model we find that for small open trading systems where allowance prices are exogenous first best second period grandfathering schemes must not depend on firm specific decisions in the first period second best schemes correspond to a ramsey rule of optimal tax differentiation and are generally based on both previous emissions and output however ofr closed emissions trading systems i e endogeneous allowance prices firstand second best rules coincide and must not depend on previous output levels they consist of an assignment proportional to the emissions in the first period plus a term which does not depend on firm specific decisions in either of the two periods

low carbon production with low carbon premium in cap and trade regulation abstract manufacturers face a choice of whether to reduce their carbon emissions through employing low carbon technologies though many carbon regulations are set up to curb carbon emissions some firms choose not to take low carbon production because the additional cost of low carbon progressing is high however low carbon production would be a better alternative when we consider consumer s low carbon premium in the cap and trade system in this work we solve the manufacturer s multi product joint pricing and production problem when consumers value the low carbon product higher than the ordinary product our findings provide firms with conditions where low carbon production is profitable furthermore we find that the cap and trade would constrain the total carbon emissions and promote low carbon production simultaneously under certain conditions

multinomial approximating models for options with k state variables contingent claims whose values depend on multiple sources of uncertainty arise in many financial contracts and in the analysis of real projects unfortunately closed form solutions for these options are rare and numerical methods can be computationally expensive this article extends the literature on multinomial approximating models specifically new multinomial models are presented that include as special cases existing models the more general models are shown to be computationally more efficient

design of sustainable supply chains under the emission trading scheme increase in environmental concerns together with legislations are forcing industries to take a fresh look at the impact of their supply chain operations on the environment this paper introduces a mixed integer linear programming based framework for sustainable supply chain design that considers life cycle assessment lca principles in addition to the traditional material balance constraints at each node in the supply chain indeed the framework distinguishes between solid and liquid wastes as well as gaseous emissions due to various production processes and transportation systems the framework is used to evaluate the tradeoffs between economic and environmental objectives under various cost and operating strategies in the aluminum industry the results suggest that current legislation and emission trading schemes ets must be strengthened and harmonized at the global level in order to drive a meaningful environmental strategy moreover the model demonstrates that efficient carbon management strategies will help decision makers to achieve sustainability objectives in a cost effective manner

inventory management under joint product recovery and cap and trade constraints abstract the influence of environmental legislation in inventory control policies is explored previous work on product recovery is extended using the introduction of a cap and trade mechanism in an infinite horizon inventory system in which demand and returns are uncertain demand is met through two different sources namely manufacturing and remanufacturing which differ in cost and greenhouse gas emissions the main contributions of this paper are 1 comparison of system operation in terms of cost and environmental performance under conventional and green inventory policies and 2 managerial insights into the structure of green inventory policies to illustrate the impact of a cap and trade scheme a numerical example is used we solved the problem as a markov decision process and characterized the inventory policies based on the optimal replenishment strategy we also conducted a sensitivity analysis to examine the effect of underlying environmental parameters such as the emission cap and the allowance price in the policy structures the results indicate that decisions are sensitive to carbon prices the inventory policy could play an important role in compliance with environmental legislation although there is threshold carbon price beyond which the company must focus on strategic decisions rather than tactical decisions

do carbon taxes work analysis of government policies and enterprise strategies in equilibrium abstract to achieve the goal of carbon emission reduction a number of countries have implemented carbon tax policies and carbon pricing has become an important tool this paper discusses the interactions between a government and an enterprise for implementing carbon taxes over time or by level of tax considering greenhouse gas emission we examine the impacts of various carbon tax policies on enterprises investments in new technology their reductions in production quantity and governments tax remittances a case study of the strategic responses of three firms in taiwan s electronics cement and steel industries to two carbon emission policies promulgated by government shows that appropriate levels of tax can induce an enterprise to alter its production processes to achieve emission reduction as part of a long term business strategy

generalised soft binomial american real option pricing model fuzzy stochastic approach abstract the stochastic discrete binomial models and continuous models are usually applied in option valuation valuation of the real american options is solved usually by the numerical procedures therefore binomial model is suitable approach for appraising the options of american type however there is not in several situations especially in real option methodology application at to disposal input data of required quality two aspects of input data uncertainty should be distinguished risk stochastic and vagueness fuzzy traditionally input data are in a form of real crisp numbers or crisp stochastic distribution function therefore hybrid models combination of risk and vagueness could be useful approach in option valuation generalised hybrid fuzzy stochastic binomial american real option model under fuzzy numbers t numbers and decomposition principle is proposed and described input data up index down index growth rate initial underlying asset price exercise price and risk free rate are in a form of fuzzy numbers and result possibility expected option value is also determined vaguely as a fuzzy set illustrative example of equity valuation as an american real call option is presented

the role of revenue sharing and first mover advantage in emission abatement with carbon tax and consumer environmental awareness abstract in this study we explore the role of revenue sharing and first mover advantage in manufacturer s carbon emission abatement effort and the firms profitability in a linear demand setting where the government might impose some carbon emission charges and consumers may have environmental awareness we consider a supply chain system consisting of a manufacturer and a retailer either of them can move first to offer the other firm a wholesale price contract wp or a revenue sharing contract rs which is termed as abatement level promise strategy pr and abatement level requirement strategy rq respectively our analysis shows that under both pr and rq there exists a unique abatement level maximizing the manufacturer s profit in wp and rs respectively moreover both firms incentives for abatement are perfectly aligned under pr but are misaligned under rq when the marginal abatement cost is large contrary to conventional wisdom rs does not necessarily dull the manufacturer s effort in abatement it depends on whether she possesses first mover advantage and whether consumers have environmental awareness further with consumer environmental awareness numerically or without both firms always prefer to possess first mover advantage but the system s profit under rq is smaller than that under pr numerically surprisingly whether a greater share of revenue benefits a firm depending on whether the firm possesses first mover advantage numerically finally under both rq numerically and pr rs fails to coordinate the system

securitization and loan performance ex ante and ex post relations in the mortgage market this study examines the relation between securitization and loan performance using a comprehensive dataset from a major national mortgage lender loans remaining on the bank s balance sheet ex post incurred higher delinquency rates than sold loans contrasting the negative relation between screening efforts and ex ante probability of loan sale explored by prior studies moreover the performance gap between sold and retained loans was wider among the subsample of loans that were perceived as easier to resell the investors seeming advantage over the originating bank can mostly be explained by information revealed during the time between loan origination and sale

banks and loan sales marketing nonmarketable assets theories of financial intermediation predict that bank loans should not be marketable because of moral hazard problems banks will not conduct credit risk analysis or monitor borrowers if they are not at risk for failing to perform these services throughout most of history bank loans have not in fact been marketable yet by the end of the 1980 s the amount of commercial and industrial loan sales outstanding had grown to over 250 billion from trivial amounts at the beginning of the decade to explain the opening of this loan sales market we present a model of incentive compatible loan sales that allows for implicit contractual features between loan sellers and loan buyers we then test for the presence of these features using a sample of over 800 recent loan sales

low carbon product selection with carbon tax and competition effects of the power structure abstract this paper considers product selection strategies of two competitive firms in the presence of carbon tax optimal strategies are developed for product selection of the firm with two game structures namely the nash game and the stackelberg game by which the paper conducts an analytical examination of the effect of power structure on the product selection strategy of the firm over various levels of carbon tax rate the critical managerial findings derived with the studies are as follows i two competitive firms will always adopt the same product strategy with the nash pricing game regardless of the carbon tax rate which is in contrast to that they will adopt a differentiated product strategy over the low carbon tax rates with the stackelberg pricing game ii two competitive firms will both select the common or low carbon product with randomness over the middle carbon tax rates with the nash product selection game which is contrast to that the randomness in their product selections is removed with the stackelberg product selection game which leads to an existence of the pure strategy stackelberg equilibrium for their product selection strategies over the middle carbon tax rates the inherent mechanisms leading to these essential differences are also discussed in the paper

securitization and moral hazard evidence from credit score cutoff rules abstract a growing literature exploits credit score cutoff rules as a natural experiment to estimate the moral hazard effect of securitization on lender screening however these cutoff rules can be traced to underwriting guidelines for originators not for securitizers moreover loan level data reveal that lenders change their screening at credit score cutoffs in the absence of changes in the probability of securitization credit score cutoff rules thus cannot be used to learn about the moral hazard effect of securitization on underwriting by showing that this evidence has been misinterpreted our analysis should move beliefs away from the conclusion that securitization led to lax screening

financial regulation and securitization evidence from subprime loans we examine the consequences of existing regulations on the quality of mortgage loans originations in the originate to distribute otd market the information asymmetries in the otd market can lead to moral hazard problems on the part of lenders we find using a plausibly exogenous source of variation in the ease of securitization that the quality of loan origination varies inversely with the amount of regulation more regulated lenders originate loans of worse quality we interpret this result as a possible evidence that the fragility of lightly regulated originators capital structure can mitigate moral hazard in addition we find that incentives which require mortgage brokers to have skin in the game and stronger risk management departments inside the bank partially alleviate the moral hazard problem in this setting finally having more lenders inside a mortgage pool is associated with higher quality loans suggesting that sharper relative performance evaluation made possible by more competition among contributing lenders can also mitigate the moral hazard problem to some extent overall our evidence suggests that market forces rather than regulation may have been more effective in mitigating moral hazard in the otd market the findings caution against policies that impose stricter lender regulations which fail to align lenders incentives with the investors of mortgage backed securities

tactical supply chain planning under a carbon tax policy scheme a case study greenhouse gas emissions are receiving greater scrutiny in many countries due to international forces to reduce anthropogenic global climate change industry and their supply chains represent a major source of these emissions this paper presents a tactical supply chain planning model that integrates economic and carbon emission objectives under a carbon tax policy scheme a modified cross entropy solution method is adopted to solve the proposed nonlinear supply chain planning model numerical experiments are completed utilizing data from an actual organization in australia where a carbon tax is in operation the analyses of the numerical results provide important organizational and policy insights on 1 the financial and emissions reduction impacts of a carbon tax at the tactical planning level 2 the use of cost emission tradeoff analysis for making informed decisions on investments 3 the way to price carbon for maximum environmental returns per dollar increase in supply chain cost

emission policies and their analysis for the design of hybrid and dedicated closed loop supply chains abstract government legislation and consumer awareness on carbon emissions have required industries to seek alternative ways to reorganize their supply chains therefore industries have to consider not only the activities in the forward supply chain but also in the reverse supply chain an integrated supply chain that combines the activities of both the forward and reverse supply chains is referred to as the closed loop supply chain clsc there are two main types of clsc structures hybrid and dedicated in this research we analyze the effect of carbon emissions consideration on the design of both hybrid and dedicated clscs in particular we develop a set of integrated mixed integer linear programming milp models to quantify and compare both of the environmental and economic impacts of carbon emissions policies carbon cap carbon tax and carbon cap and trade and market factors scale effect product return rate and the customer demand on the design of clscs with respect to both clsc structures our analysis shows that when market conditions are considered total cost and total emissions are more sensitive to customer demand than to the scale effect and the product return rate when an industry faces fluctuation on the quantity of the returned products adopting a dedicated clsc would lead to a lower total cost under cap and trade policy dedicated clsc can produce less total emissions we also observe that dedicated clsc is more cost efficient under carbon cap policy and hybrid clsc is more emissions efficient when the carbon tax is introduced

got rejected real effects of not getting a loan using a lender cutoff rule that generates plausibly exogenous variation in credit supply i investigate a new channel through which funding shocks are transmitted to the real economy based on a sample of more than 15 000 loan applications from small and medium sized enterprises i find that precautionary savings motives can aggravate real effects low liquidity firms whose loan applications were rejected increase cash holdings and cut noncash assets in excess of the requested loan amount these results point to the amplifying effect of precautionary savings motives in the transmission of credit supply shocks received december 11 2016 editorial decision february 22 2018 by editor philip strahan

tradeable carbon permit auctions how and why to auction not grandfather abstract an auction of carbon permits is the best way to achieve domestic carbon caps designed to limit global climate change to minimize administrative costs permits would be required at the level of oil refineries natural gas pipe lines natural gas liquid sellers and coal processing plants to maximize liquidity in secondary markets permits would be fully tradable and bankable the government would conduct quarterly auctions a standard ascending clock auction in which price is gradually raised until there is no excess demand would provide reliable price discovery an auction is preferred to grandfathering giving companies permits based on historical output or emissions because it allows reduced tax distortions provides more flexibility in distribution of costs provides greater incentives for innovation and reduces the need for politically contentious arguments over the allocation of rents

valuing risky projects option pricing theory and decision analysis in the academic literature and professional practice there are a number of alternative and apparently competing methods for valuing risky projects in this paper we compare and contrast three different approaches risk adjusted discount rate analysis option pricing analysis and decision analysis focusing on the last two we show that in contrast to some of the claims made in the real options literature when both option pricing and decision analysis methods are correctly applied they must give consistent results we also explore ways in which option pricing and decision analysis methods can be profitably integrated in particular we show how option pricing techniques can be used to simplify decision analysis when some risks can be hedged by trading and conversely how decision analysis techniques can be used to extend option pricing techniques to problems with incomplete securities markets

on the economics of carbon pricing insights from econometric modeling with industry level data abstract the literature which tests the porter hypothesis by studying the role of environmental policies on innovation is not only fragmented but mostly employs broad measures of environmental regulations in order to draw consensus in this literature and sufficiently incentivize the pursuit of environmental policy objectives further contributions on the economics of environmental regulations utilizing alternative methods and data are needed therefore our analysis takes the chinese national emission trading scheme ets as specific example of such a policy in the econometric analysis chinese carbon prices from this market are used and their impact on innovation is estimated using a dynamic panel data regression the main findings are that while a carbon price appears to stimulate r d intensity innovation input the boost in r d does not result into increased sales and profits for industries innovation output high energy consuming industries have higher tendencies to innovate but this takes place at the distribution and marketing stages of the value chain however since the energy requirement at these levels is less relative to the actual production stage the energy costs saving may be limited therefore to better the economics of carbon pricing in a competitive world in which risk aversion is a possibility policies which encourage energy intensive industries to innovate at the production stage would present opportunities in general these findings contribute to our understanding of innovation behavior and have the potential to stimulate new debates in the literature

loan sales and the cost of bank capital this paper considers a model where banks may improve the returns on loans by monitoring borrowers bank regulation together with competitive deposit and equity financing can give banks an incentive to sell loans but the extent of their loan selling is limited by a moral hazard problem a solution is given for the optimal design of the bank loan buyer contract that alleviates this moral hazard problem an explanation is also given as to why some banks might buy loans and why loan sales volume has recently increased banks practice of making loans and then selling them to other institutions and individuals has grown in popularity an important example in the development of loan selling has been the increase in banks mortgage loans that are insured and pooled under the authority of the government national mortgage association gnma and then sold to secondary market investors recently however there has been a dramatic rise in the volume of other types of loans being sold especially by money center banks portions of commercial loans originated by these larger banks are being sold to smaller banks foreign banks and other financial and nonfinancial institutions in addition banks car loans and credit card receivables have also been pooled and sold to institutions and individuals selling loans that were once considered nonmarketable assets a process that has been termed asset securitization may be signalling the start of a fundamental change in the commercial banking business the leading banks in loan selling operations now view themselves more as originators and distributors of loans rather than as institutions holding loans as assets the potentially large impact of loan sales on the future of commercial banking naturally evokes the question of what incentives exist for banks to sell loans in this paper we show that loan sales allow some banks to finance loans less expensively than by traditional deposit or equity issue because bank funds received via loan sales can avoid costs associated with required reserves and

asymmetric information in securitization an empirical assessment abstract asymmetric information in securitization deals is analyzed based on a unique dataset comprising a million mortgages both securitized and not and using a methodology previously applied to insurance data that looks at the correlation between risk transfer and default probability the main finding is that for given observable characteristics securitized mortgages have a lower default probability than non securitized ones we show that this finding is consistent with banks caring about their reputation for not selling lemons

optimal emission taxes for full internalization of environmental externalities abstract the present study proposes a set of optimal emissions fees that could be used to reduce the damages caused by industrial pollution the approach we use allows for the setting of pollution taxes at their economically appropriate level in particular tax rates are computed for china india and 19 sub saharan african countries all other world regions are grouped according to income level such as low income lower middle income upper middle income and high income economies our results show that constructed optimal pollution taxes range as high as 2 9 per 1 dollar of output for heavy manufacturing in the high income countries and as low as 0 01 in the service sectors of the low income countries these results show that a full internalization of the damages in each sector calls for raising the tax rates in some sectors and lowering them in others

carbon pricing and general equilibrium under leontief production technology abstract comparing temperature and emissions data does not clearly show a relationship between the two variables going further this study combines leontief production technology with a computable general equilibrium model of global trade in order to quantitatively test the implications of mitigation policies for welfare and the environment we compute optimal emissions taxes and show that administering carbon fees reduces environmental damages by nearly 50 however there is a tradeoff effect on production which calls for caution when implementing environmental policies in general environmental benefits and resources shifting due to carbon taxes lead to welfare gains

securitization and lending competition we study the eects of securitization on interbank lending competition when banks see private signals of local applicants repayment chances if banks cannot securitize the outcome is e cient they lend to their most creditworthy local applicants with securitization banks lend also to remote applicants with strong observables in order to lessen the lemons problem they face in selling their securities this reliance on observables is ine cient raises the mean default risk and may lead to a deceptive rise in credit scores

evaluating corporate bonds with complicated liability structures and bond provisions this paper presents a general and numerically accurate lattice methodology to price risky corporate bonds it can handle complex default boundaries discrete payments various asset sales assumptions and early redemption provisions for which closed form solutions are unavailable furthermore it can price a portfolio of bonds that accounts for their complex interaction whereas traditional approaches can only price each bond individually or a small portfolio of highly simplistic bonds because of the generality and accuracy of our method it is used to investigate how credit spreads are influenced by the bond provisions and the change in a firm s liability structure due to bond repayments

the attractions and perils of flexible mortgage lending a mortgage program that offered borrowers greater flexibility in the timing of repayments increased a bank s volume by over 35 loans in the program exhibited superior performance despite this a regression discontinuity analysis shows that the causal impact of offering flexibility was to attract borrowers to the bank who experienced quadruple the average delinquency rate these contrasting findings are driven by the fact that the bank engaged in ex post sorting of stronger borrowers into the flexible program this sorting masked the ex ante adverse selection effects that offering flexibility had on the entire borrowing pool the author 2013 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

closed loop supply chain network design with multiple transportation modes under stochastic demand and uncertain carbon tax abstract we optimize the design of a closed loop supply chain network that encompasses flows in both forward and reverse directions and is subject to uncertainty in demands for both new and returned products the model also accommodates a carbon tax with tax rate uncertainty the proposed model is a three stage hybrid robust stochastic program that combines probabilistic scenarios for the demands and return quantities with uncertainty sets for the carbon tax rates the first stage decisions are facility investments the second stage concerns the plan for distributing new and collecting returned products after realization of demands and returns and the numbers of transportation units of various modes are the third stage decisions the second and third stage decisions may adjust to the realization of the carbon tax rate for computational tractability we restrict them to be affine functions of the carbon tax rate benders cuts are generated using recent duality developments for robust linear programs computational results show that adjusting product flows to the tax rate provides negligible benefit but the ability to adjust transportation mode capacities can substitute for building additional facilities as a way to respond to carbon tax uncertainty

a discrete time model of american put option in an uncertain environment abstract a discrete time mathematical model for american put option with uncertainty is presented and the randomness and fuzziness are evaluated by both probabilistic expectation and fuzzy expectation defined by a possibility measure from the viewpoint of fuzzy expectation taking account of decision maker s subjective judgment an optimality equation for the optimal stopping problem in a fuzzy stochastic process is derived and an optimal exercise time is given for the american put option it is shown that the optimal fuzzy price is a solution of the optimality equation under a reasonable assumption the permissible range of the writer s seller s optimal expected price in the american put option is presented and the meaning and properties of the optimal expected prices are discussed in numerical examples in a numerical example the discrete time approximation model is discussed for the continuous time model

carbon pricing versus emissions trading a supply chain planning perspective abstract carbon pricing taxes and carbon emissions trading are two globally practiced carbon regulatory policy schemes this paper presents an analytical supply chain planning model that can be used to examine the supply chain performance at the tactical operational planning level under these two policy schemes model implementation and analyses are completed using actual data from a company operating in australia where these environmental regulatory policies are practiced numerical results provide important managerial and practical implications and policy insights in particular the results show that there are inflection points where both carbon pricing and trading schemes could influence costs or emissions reductions an erratic nonlinear emissions reduction trend is observed in a carbon pricing scheme as the carbon price increases steadily whereas emissions reduction in a carbon trading scheme follows a relatively linear trend with a nonlinear cost increase overall a carbon trading mechanism although imperfect appears to result in better supply chain performance in terms of emissions generation cost and service level even though a carbon tax may be more worthwhile from an uncertainty perspective as emissions trading costs depend on numerous uncertain market conditions

application of the fuzzy stochastic methodology to appraising the firm value as a european call option abstract the valuing of a firm equity as a call option is a crucial problem in financial decision making there are two basic aspects that are studied contingent claim features payoff functions and risk stochastic process of underlying assets however non preciseness vagueness uncertainty of input data is often neglected thus a combination of risk stochastic and uncertainty fuzzy instruments could be a useful approach in calculating a firm value as a call option the black scholes methodology of appraising equity as a european call option is applied fuzzy stochastic methodology under fuzzy numbers t numbers is proposed and described fuzzy stochastic model of appraising a firm equity is proposed input data are in a form of fuzzy numbers and result firm possibility expected equity value is also determined vaguely as a fuzzy set illustrative example is introduced

the impact of carbon pricing on a closed loop supply chain an australian case study concerns about industrial and supply chain implications on our natural environment have existed for decades climate change and greenhouse gas emissions have caused countries to implement various instruments ranging from taxes permits and voluntary incentives to required regulatory policies given this environment we develop a unified optimization model for a closed loop supply chain in which the carbon emission is expressed in terms of dollar carbon cost this study is one of the first to evaluate the forward and reverse supply chain influences on the carbon footprint a comparative analysis is completed with a decomposition of cost and environmental influences across supply chain functions we utilize data from a company located in australia where the government is currently introducing a carbon pricing scheme we find that variations in cost and environmental impacts occur over ranges of carbon pricing characteristics and patterns of the numerical results over these ranges provide insights for corporate key strategies and potential additional government policies these results and implications are analyzed along with limitations and directions for future research

competitive advantage through take back of used products abstract motivated by a recent antitrust ruling against hill rom one of the two dominant american suppliers of hospital beds we develop a stylized model to investigate the consequences of used product take back on firms industry and customers our findings suggest that by taking back and reselling refurbished products a manufacturer can increase both profit margins and sales to the detriment of a non interfering competitor in our model customers are always better off under product take back but it depends on the degree of competition whether firms use the benefits of take back primarily to increase their margins or to pass them on to the customers by lowering their prices the first firm to offer take back in some cases can deter its competitors from following this profitable strategy especially if it has an existing advantage in terms of lower production cost or higher market share contrary to the claim of hill rom s competitor we find a legitimate business justification for hill rom s reduction of new product prices

supply chain design for efficient and effective blood supply in disasters abstract the emergency supply of blood in natural and anthropogenic disasters has proved challenging this article presents a stochastic bi objective supply chain design model for the efficient cost minimizing and effective delivery time minimizing supply of blood in disasters the blood supply network under investigation is comprised of blood donors mobile blood facilities local and regional blood centers and demand points a hybrid solution approach combining the e constraint and lagrangian relaxation methods is developed to solve the proposed model our numerical experiments and subsequent discussions focus on 1 investigating the utility of the proposed model in solving different size problems 2 exploring possible tradeoffs between supply chain cost and delivery time 3 identifying the areas along the supply chain where investments can be made to improve supply chain efficiency and effectiveness and 4 performance benchmarking of the proposed stochastic programming approach

numerical evaluation of multivariate contingent claims we develop a numerical approximation method for valuing multivariate contingent claims the approach is based on an n dimensional extension of the lattice binomial method closed form solutions for the jump probabilities and the jump amplitudes are obtained the accuracy of the method is illustrated in the case of european options when there are three underlying assets article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

a lattice framework for option pricing with two state variables a procedure is developed for the valuation of options when there are two underlying state variables the approach involves an extension of the lattice binomial approach developed by cox ross and rubinstein to value options on a single asset details are given on how the jump probabilities and jump amplitudes may be obtained when there are two state variables this procedure can be used to price any contingent claim whose payoff is a piece wise linear function of two underlying state variables provided these two variables have a bivariate lognormal distribution the accuracy of the method is illustrated by valuing options on the maximum and minimum of two assets and comparing the results for cases in which an exact solution has been obtained for european options one advantage of the lattice approach is that it handles the early exercise feature of american options in addition it should be possible to use this approach to value a number of financial instruments that have been created in recent years

an institutional theory perspective on sustainable practices across the dairy supply chain the need for sustainable practices in the food supply chain particularly in the area of energy reduction is becoming acute the food industry currently has to contend with multiple competing pressures alongside the new challenges of sustainable production we applied institutional theory to explore the role of supermarkets in the development of legitimate sustainable practices across the dairy supply chains the paper focuses on dairy supply chain organizations and their consumption of energy we conducted 70 semi structured telephone interviews with various stakeholders across the supply chain findings revealed that the majority of actors in the supply chain identified supermarkets as the dominant player and that the supermarkets exert pressure on other smaller organizations across the supply chain although some organizations wished to pursue a sustainable agenda through integrating new rules and legitimate practices within their own organization the dominant logic appeared to be one of cost reduction and profit maximization there was also evidence that supermarkets and other large organizations attempt to replicate publicly available information on green successes for image purposes we conclude that the dominant logic of cost reduction is so well established that challenging the dominant logic may prove difficult the challenge is therefore to complement the dominant logic with sustainable practices across the whole supply chain a role government needs to play this will require a broader more systemic approach to encouraging sustainable practices including investment and financing practices so that all members of the dairy supply chain can co operate and contribute to energy reduction