Risk Averse,Broadly Speaking

Investors greet China's first QDII products with caution Ms. Wang, a financial planner at one of China's largest state-owned banks, takes five phone inquiries a day from clients I about its new QDII products, with most clients saying they will consider it. "I have an enquiry about your bank's QDII products. What are the returns?

Optimal Portfolio Selection of Wind Power Plants Using a Stochastic Risk-Averse Optimization Model, Considering the Wind Complementarity of the Sites and a Budget Constraint

This work focuses on the best financial resources allocation to define a wind power plant portfolio, considering a set of feasible sites. To accomplish the problem formulation and solution, the first step was to establish a long-term wind series reconstruction methodology for generating scenarios of wind energy, applying it to study five different locations of the Brazilian territory. Secondly, a risk-averse stochastic optimization model was implemented and used to define the optimal wind power plant selection that maximizes the portfolio financial results, considering an investment budget constraint. In a sequence, a case study was developed to illustrate a practical situation of applying the methodology to the portfolio selection problem, considering five wind power plants options. The case study was supported by the proposed optimization model, using the scenarios of generation created by the reconstruction methodology. The obtained results show the model performance in terms of defining the best financial resources allocation considering the effect of the complementarity between sites, making it feasible to select the optimal set of wind power plants, characterizing a wind plant optimal portfolio that takes into account the budget constraint. The adopted methodology makes it possible to realize that the diversification of the portfolio depends on the investor risk aversion. Although applied to the Brazilian case, this model can be customized to solve a similar problem worldwide.

Analysis of Conditional Value-at-Risk for Newsvendor with Holding and Backorder Cost under Market Search

We consider a distribution system with one supplier and two retailers. For the two retailers, they face different demand and are both risk averse. We study a single period model which the supplier has ample goods and the retailers order goods separately. Market search is measured as the fraction of customers who unsatisfied with their ＂local＂ retailer due to stock-out, and search for the goods at the other retailer before leaving the system. We investigate how the retailers game for order quantity in a Conditional Value-at-Risk framework and study how risk averse degree, market search level, holding cost and backorder cost influence the optimal order strategies. Furthermore, we use uniform distribution to illustrate these results and obtain Nash equilibrium of order strategies.

UTILITY BASIS OF CONSUMPTION AND INVESTMENT DECISIONS IN A RISK ENVIRONMENT

Using expectations regarding utilities to make decisions in a risk environment hides a paradox,which is called the expected utility enigma.Moreover,the mystery has not been solved yet;an imagined utility function on the risk-return plane has been applied to establish the mean-variance model,but this hypothetical utility function not only lacks foundation,it also holds an internal contradiction.This paper studies these basic problems.Through risk preference VNM condition is proposed to solve the expected utility enigma.How can a utility function satisfy the VNM condition?This is a basic problem that is hard to deal with.Fortunately,it is found in this paper that the VNM utility function can have some concrete forms when individuals have constant relative risk aversion.Furthermore,in order to explore the basis of mean-variance utility,an MV function is founded that is based on the VNM utility function and rooted in underlying investment activities.It is shown that the MV function is just the investor's utility function on the risk-return plane and that it has normal properties.Finally,the MV function is used to analyze the laws of investment activities in a systematic risk environment.In doing so,a tool,TRR,is used to measure risk aversion tendencies and to weigh risk and return.

Financial Innovation Way of Avoiding Risk of Climate Disasters in Food Production:Weather Index Insurance

Climate change will lead to a variety of climate disasters, and climate disasters have a greater impact on China＇s food production. Weather index insurance is a new financial way to avoid risk of climate disasters effectively in China＇s food production. Firstly, the relationship between weather index insurance and food production in China was elaborated, and then the development status, advantages and disadvantages of weather index insurance in China at present were analyzed. Finally, some countermeasures against the problems of weather index insurance in China were put forward.

Risk Seeking Behavior in Anticipation to Volatility Mean Reversal:A Case Study Using Bitcoin and SKEW

The traditional finance approach to decision analysis,based on neo-classical economics,assumes self-interested,utility maximizing approach,and risk aversion.This essay points to a situation that investment in a risky asset(Bitcoin)is directly related to an increase in market risk,measured by SKEW index.This contradicts the traditional approach and aligns to several findings of behavioral finance.More specifically,it shows that investors may be risk seeking actors in anticipation to a belief that volatility will return to normal levels.

Some Likelihood Based Properties in Large Samples: Utility and Risk Aversion, Second Order Prior Selection and Posterior Density Stability

The likelihood function plays a central role in statistical analysis in relation to information, from both frequentist and Bayesian perspectives. In large samples several new properties of the likelihood in relation to information are developed here. The Arrow-Pratt absolute risk aversion measure is shown to be related to the Cramer-Rao Information bound. The derivative of the log-likelihood function is seen to provide a measure of information related stability for the Bayesian posterior density. As well, information similar prior densities can be defined reflecting the central role of likelihood in the Bayes learning paradigm.

The risk aversion measures in Architectural Engineering Project Management

With the continuous development of the construction industry, the scale and volume of the construction project is expanding. And the project management of the construction project still has the big risk problem which influenced by many factors. These risks will not only bring unnecessary interference to the construction of the project, but also may jeopardize the safety of people＇s life and property. It is the focus of this article to do a good job in risk aversion in the management of construction projects.

Systematic Reform and Risk Aversion in the Interregional Flow of Chinese Rural Labor Force --Wuhan Case Study

Based on Wuhan city investigation, this paper makes a positive analysis to the uncertainty of shifting rural labors to urban areas, and put forward thoughts and countermeasures to avert the risk of the interregional flow of rural labors.

Uncertainty aversion and farmers' innovative seed adoption:Evidence from a field experiment in rural China

Based on the microdata of 705 wheat farmers in the Loess Plateau, this study empirically analyzes the impact of uncertainty on farmers' adoption of innovative seeds using a field experiment. The results indicate that farmers are generally ambiguity-averse and risk-averse. In addition, farmers with higher ambiguity aversion and risk aversion are less likely to adopt innovative wheat seeds, where their risk aversion plays a dominant role. Enhancing information access will alleviate the negative influence of ambiguity aversion on farmers' adoption of innovative seeds, and interlinked insurance and credit contracts will be beneficial to ease the adverse effect of risk aversion on the adoption of innovative wheat seeds. Meanwhile, heterogeneity analysis reveals that the inhibitory effects of ambiguity aversion and risk aversion on innovative seed adoption are more significant among farmers with lower education and household income.The government can establish both ex-ante and ex-post relevant guarantee mechanisms to help farmers preferably cope with various uncertainties in the production process, remitting farmers' ambiguity aversion and risk aversion to enhance new agricultural technology adoption rates.

Financial literacy,behavioral traits,and ePayment adoption and usage in Japan

This study investigates how financial literacy and behavioral traits affect the adoption of electronic payment(ePayment)services in Japan.We construct a financial literacy index using a representative sample of 25,000 individuals from the Bank of Japan’s 2019 Financial Literacy Survey.We then analyze the relationship between this index and the extensive and intensive usage of two types of payment services:electronic money(e-money)and mobile payment apps.Using an instrumental variable approach,we find that higher financial literacy is positively associated with a higher likelihood of adopting ePayment services.The empirical results suggest that individuals with higher financial literacy use payment services more frequently.We also find that risk-averse people are less likely to adopt and use ePayment services,whereas people with herd behavior tend to adopt and use ePayment services more.Our empirical results also suggest that the effects of financial literacy on the adoption and use of ePayment differ among people with different behavioral traits.

Contracts in the payments for ecosystem services: the case of bio-prospecting

We examine the economics of royalties in bioprospecting contracts between a pharmaceutical and genetic resource supplier （local）, with an eve to understanding the relative advantages of indexing royalty, payments to gross revenue or net revenue. We show a risk-averse firm facing only production or only cost risks will index royalties to net revenue. When facing both types of risk the choice of royalty type depends on the relative magnitudes of the production and cost risk. In each case, the risk-averse firm chooses the royalty-type that shifts as much risk as possible to the local. Wheat the local is risk neutral the pharmaceutical＇s and local＇s preferences are compatible.If the local is risk averse and there is only one type of risk, it will prefer a gross revenue royalty, and shift as much risk as possible to the firm： here the local and firm preferences are compatible only ifthe firm is risk-neutral. Lastly we show if the firm sets the terms of the contract and both agents are risk averse, the.firm will not likely volunteer to implement the socially optimal royalty arrangement as it prefers to shift as much risk to the loeal, who now also prefers a more certain return, This last outcome is at the heart of the benefit sharing discussionand suggests if risk sharing and equity are a concern in benefit sharing, then the choice of rcyalty type can be an important part of negotiations between pharmaceuticals and locals for the phytochemical from nature for new drug discovery.

Comparative Analysis of Optimal Strategies with Two Purchase Modes under Different Risk-Averse Criterions

Consider a risk-averse newsvendor who has an option to purchase the units that are short at an emergency purchase price after demand is realized. We use the conditional value-at-risk （CVaR） as the risk measure. The aim of the study is to investigate the optimal ordering decision in such a setting under CVaR only and mean-CVaR criterions. For each case, we derive the closed-form optimal solution and perform comparative statics to show the monotonicity properties and other characteristics of the optimal decisions. We also compare our results with those of risk-neutral newsvendor.

Economic appraisal of shale gas resources, an example from the Horn River shale gas play, Canada

Development of unconventional shale gas resources involves intensive capital investment accompa- nying large commercial production uncertainties. Eco- nomic appraisal, bringing together multidisciplinary project data and information and providing likely economic outcomes for various development scenarios, forms the core of business decision-making. This paper uses a dis- counted cash flow （DCF） model to evaluate the economic outcome of shale gas development in the Horn River Basin, northeastern British Columbia, Canada. Through numerical examples, this study demonstrates that the use of a single average decline curve for the whole shale gas play is the equivalent of the results from a random drilling process. Business decision based on a DCF model using a single decline curve could be vulnerable to drastic changes of shale gas productivity across the play region. A random drilling model takes those drastic changes in well estimated ultimate recovery （EUR） and decline rates into account in the economic appraisal, providing more information useful for business decisions. Assuming a natural gas well-head price of S4/MCF and using a 10 % discount rate, the results from this study suggest that a random drilling strategy （e.g., one that does not regard well EURs）, could lead to a negative net present value （NPV）; whereas a drilling sequence that gives priority to developing those wells with larger EURs earlier in the drilling history could result in a positive NPV with various payback time and internal rate of return （IRR）. Under a random drilling assumption, the breakeven price is S4.2/MCF with more than 10 years of payout time. In contrast, if the drilling order is strictly proportional to well EURs, the result is a much better economic outcome with a breakeven price below the assumed well-head price accompanied by a higher IRR.

Impact of the COVID‑19 outbreak on the US equity sectors:Evidence from quantile return spillovers

The aim of this study is to examine the extreme return spillovers among the US stock market sectors in the light of the COVID-19 outbreak.To this end,we extend the now-traditional Diebold-Yilmaz spillover index to the quantiles domain by building networks of generalized forecast error variance decomposition of a quantile vector autoregressive model specifically for extreme returns.Notably,we control for common movements by using the overall stock market index as a common factor for all sectors and uncover the effect of the COVID-19 outbreak on the dynamics of the network.The results show that the network structure and spillovers differ considerably with respect to the market state.During stable times,the network shows a nice sectoral clustering structure which,however,changes dramatically for both adverse and beneficial market conditions constituting a highly connected network structure.The pandemic period itself shows an interesting restructuring of the network as the dominant clusters become more tightly connected while the rest of the network remains well separated.The sectoral topology thus has not collapsed into a unified market during the pandemic.

Hidden Reserve Prices with Risk-Averse Bidders

In this paper, we provide an alternative explanation for why auctioneers often keep the reserve price hidden or secret. We consider a standard independent private values environment in which the buyers are risk-averse and the seller has private information about her valuation of the object to be auctioned. The seller uses a first-price sealed-bid auction mechanism combined with either an announced reserve price or a hidden reserve price. We compare the seller＇s ex ante expected profits under these two policies and find that the optimal hidden reserve price policy generates higher expected profits for the seller when the buyers are fairly risk-averse under particular restrictions on buyers＇ preferences and the distributions of private values. As the number of the buyers increases, the hidden reserve price is more likely to dominate. Numerical methods are used to demonstrate the generality of our main results.

Students and Retirement Saving Predictors

Over the past century, Americans have had significant increases in personal income yet personal savings has decreased. The researchers examine college students＇ habits and beliefs concerning saving for retirement. To our knowledge, no study has examined retirement savings among Americans in this age group. We try to determine whether a student＇s retirement savings beliefs and habits can be predicted. Using a unique survey, five indexes are constructed to assess students＇ risk-aversion level, financial background, general savings habits, financial literacy, and attitudes toward saving. This index is used to predict a similarly constructed index of retirement savings behavior. We find that our overall model is predictive of a student＇s beliefs and habits in regards to saving for retirement. In addition, the student＇s level of risk-aversion, savings beliefs and financial literacy were each independently predictive of retirement savings behavior. Various demographic influences on the constructed risk and savings variables as well as interactions are also investigated.

Employee Stock Options＂ Accounting for Optimal Hedging, Suboptimal Exercises, and Contractual Restrictions

Employee stock options （ESOs） have become an integral component of compensation in the US. In view of their significant cost to firms, the Financial Accounting Standards Board （FASB） has mandated expensing ESOs since 2004. The main difficulty of ESO valuation lies in the uncertain timing of exercises, and a number of contractual restrictions of ESOs further complicate the problem. We present a valuation framework that captures the main characteristics of ESOs. Specifically, we incorporate the holder＇s risk aversion, and hedging strategies that include both dynamic trading of a correlated asset and static positions in market-traded options. Their combined effect on ESO exercises and costs are evaluated along with common features like vesting periods, job termination risk and multiple exercises. This leads to the study of a joint stochastic control and optimal stopping problem. We find that ESO values are much less than the corresponding Black-Scholes prices due to early exercises, which arise from risk aversion and job termination risk; whereas static hedges induce holders to delay exercises and increase ESO costs.

An Analysis of Annual Household Income From the Survey of Consumer Finances

This paper presents a brief analysis of the frequency and cumulative distributions of Americans＇ annual household income. In addition, a thorough discussion of the correlations between average income and some key demographic variables are included. The data come from the 2004 Survey of Consumer Finances. Utilizing the Survey a new, extraordinarily close, power law, relationship between current annual household income and accumulated financial assets is demonstrated. Another startling result is that the dependence of mean annual income on portfolio composition has nearly perfect power law dependence too. As money has scale, and power laws do not, this makes no sense.

Optimal investment and consumption with forward preferences and uncertain parameters

We introduce and analyze a class of forward performance criteria in incomplete markets in the presence of model ambiguity.Incompleteness stems from general investment constraints,while model uncertainty is represented by a convex and compact set of plausible model parameter processes.Following the max-min criteria in traditional(backward)robust control,we formulate similar criteria for the robust forward performance processes and focus on the rich class of time-monotone processes.We provide a novel PDE characterization and a semi-explicit saddle-point construction of the robust forward performance criteria and their optimal policies.Furthermore,we present additional results within the class of homothetic constant relative risk aversion(CRRA)processes.Within this class,we investigate the relationship between forward performance processes on wealth and those on consumption,establishing an interesting dominance through time.