A study of total beta specification through symmetric regression: the case of the Johannesburg Stock Exchange

A topic of recent interest is risk management in equity investments from emerging markets. One traditional measure for systematic risk of an asset is beta, which is constructed through ordinary least squares (OLS) regression between historical returns on an individual asset and an index representing the overall market. OLS regression assumes all the error lies within the asset returns. Tofallis (Eur J Oper Res 187(3):1358–1367, 2008) made the case for constructing a systematic risk measure through symmetric regression, where error is assumed to be present in the returns of both the asset and the index. In this paper, we construct a systematic risk measure using symmetric regression for the case of the Johannesburg Stock Exchange (JSE). This paper makes the case that the so-called ‘total beta’ parameter provides a more realistic and stable estimator for market-related risk and return. The total beta estimate, explicitly allowing for error in both variables, is less likely to underestimate the magnitude of the beta parameter.     

PRICE BEHAVIOR IN THE WATER MARKET OF NORTHEASTERN COLORADO1

ABSTRACT Past prices of Colorado-Big Thompson water shares were analyzed using an asset pricing model which incorporated the growth rate in real returns to irrigation water and the value of potential urban water uses. A real growth rate in the returns to irrigation water was estimated at 5.3 percent. Nevertheless, market values for water shares have exceeded capitalized agricultural values since 1969. Historically, urban use potential was heavily discounted, but the implicit discount rate fell rapidly in the last decade. The expectation that water shares will eventually be sold to municipal or industrial consumers now appears to be reflected fully in water prices.     

Beta estimates of shares on the JSE Top 40 in the context of reference-day risk

A topic of interest in the finance world is measuring systematic risk. Accurately measuring the systematic risk component—or Beta—of an asset or portfolio is important in many financial applications. In this work, we consider the efficiency of a range of Beta estimation methods commonly used in practice from a reference-day risk perspective. We show that, when using the industry standard data sample of 5 years of monthly returns, the choice of reference-day used to calculate underlying returns has a significant impact on all of the Beta estimation methods considered. Driven by this finding, we propose and test an alternative nonparametric bootstrap approach for calculating Beta estimates which is unaffected by reference-day risk. Our primary goal is to determine a point-estimate of Beta, independent of reference-day.     

Long memory and chaotic models of prices on the London Metal Exchange

Many financial time series exhibit irregular behaviour. Economic theory suggests that this irregular behaviour might be due to the existence of nonlinear dependence in the markets. Thus, economic time series are governed by nonlinear dynamics.The purpose of this paper is to investigate price behaviour in the London Metal Exchange market. Thus, this study will test the two most attractive nonlinear models—long memory and chaos—on six metal commodities to ascertain which model is consistent with the observed metal price nonlinear dynamics.Application of long memory and chaos analysis provides new approaches for assessing the behaviour of metal prices. We identified, in tin, a case of chaos. Our empirical results in the case of aluminium support the long memory hypothesis. A short memory model explains the underlying processes of the nickel and lead returns series, while zinc returns reflect an anti-persistent process. To our knowledge, this is one of the first attempts to apply long memory and chaos analysis in the evaluation of the behaviour of metal prices.     

The impact of monetary liquidity on Chinese aluminum prices

By expanding Frankel and Rose's (2009) theoretical model to consider the interaction of commodity prices with both money liquidity and expectation formation, this paper empirically studies the long-run relationship and short-term dynamics between aluminum prices and money liquidity via Vector autoregressive (VAR) and Impulse Response Function methodologies. Our results show that: (1) a cointegration relationship between money liquidity and Chinese aluminum prices exists, and monetary liquidity positively significantly influences the price over long periods; (2) a structural change has been found during the 2008 Financial Crisis and the change of Chinese monetary policies; and (3) the negative impact of production capacity mechanism on aluminum prices coexists with the positive impact of financial asset returns mechanism, to allow for varied market expectations on aluminum prices within and outside China.     

Dynamic relationship between precious metals

We use a relatively new approach to endogenously detect the volatility shifts in the returns of four major precious metals (gold, silver, platinum and palladium) from 1999 to 2013. We reveal that the turbulent year of 2008 has no significant effect on volatility levels of gold and silver however causes an upward shift in the volatility levels of palladium and platinum. Using the consistent dynamic conditional correlations, we show that precious metals get strongly correlated with each other in the last decade which reduces the diversification benefits across them and indicates a convergence to a single asset class. We endogenously detect the shifts in these dynamic correlation levels and reveal uni-directional volatility shift contagions among precious metals. The results show that gold has a uni-directional volatility shift contagion effect on all other precious metals and silver has a similar effect on platinum and palladium. However, the latter two do not matter in terms of volatility shift contagion. Thus, investors that hedge with precious metals should, in particular, monitor the volatility levels of gold and silver.     

The macroeconomic determinants of volatility in precious metals markets

This paper models the monthly price volatilities of four precious metals (gold, silver, platinum and palladium prices) and investigates the macroeconomic determinants (business cycle, monetary environment and financial market sentiment) of these volatilities. Gold volatility is shown to be explained by monetary variables, but this is not true for silver. Overall, there is limited evidence that the same macroeconomic factors jointly influence the volatility processes of the four precious metal price series, although there is evidence of volatility feedback between the precious metals. These results are consistent with the view that precious metals are too distinct to be considered a single asset class, or represented by a single index. This finding is of importance for portfolio managers and investors.     

Information Network Topologies for Enhanced Local Adaptive Management

We examined the principal effects of different information network topologies for local adaptive management of natural resources. We used computerized agents with adaptive decision algorithms with the following three fundamental constraints: (1) Complete understanding of the processes maintaining the natural resource can never be achieved, (2) agents can only learn by experimentation and information sharing, and (3) memory is limited. The agents were given the task to manage a system that had two states: one that provided high utility returns (desired) and one that provided low returns (undesired). In addition, the threshold between the states was close to the optimal return of the desired state. We found that networks of low to moderate link densities significantly increased the resilience of the utility returns. Networks of high link densities contributed to highly synchronized behavior among the agents, which caused occasional large-scale ecological crises between periods of stable and high utility returns. A constructed network involving a small set of experimenting agents was capable of combining high utility returns with high resilience, conforming to theories underlying the concept of adaptive comanagement. We conclude that (1) the ability to manage for resilience (i.e., to stay clear of the threshold leading to the undesired state as well as the ability to re-enter the desired state following a collapse) resides in the network structure and (2) in a coupled social–ecological system, the systemwide state transition occurs not because the ecological system flips into the undesired state, but because managers lose their capacity to reorganize back to the desired state. An erratum to this article can be found at .     

Community values for environmental protection in a cane farming catchment in northern Australia: a choice modelling study

Choice modelling is an emerging approach to estimating the non-use values of environmental services with multiple attributes. In this paper, results are reported of a choice modelling study conducted in the Herbert River District of North Queensland to estimate the value placed on the protection of natural vegetation in areas suitable for cane production by the local community. Resource use options that vary in the level of environmental protection and the level of agricultural production were presented as a series of choice sets and respondents were asked to choose among a set of three discrete alternatives in a given choice set. The alternatives in each choice set were described by four attributes, pertaining to the area of teatree woodlands, the area of vegetation along rivers and in wetlands, regional income from cane production, and an environmental levy. The responses were analysed together with socio-economic data using a nested-logit discrete-choice model to estimate the community willingness-to-pay for the protection of natural vegetation. The results indicate that the environmental values of wetlands are comparable to returns from commercial production of sugar cane and that the values of teatree woodlands are comparable to returns from extensive grazing. It is argued that land allocation policies should recognise these values in tandem with commercial benefits of production to ensure that resources are used more efficiently.     

后疫情时期全国碳市场政策对经济和排放的影响

新冠肺炎疫情暴发一年多以来,国际国内形势仍面临极大不确定性。疫情显著降低了短期排放水平,但是经济恢复政策和疫情发展形势的不确定使得对未来经济发展和碳排放的判断变得复杂,碳排放是否会反弹对实现《巴黎协定》目标造成挑战,已经投入运行的全国碳市场能多大程度发挥政策效果等问题值得关注。本文首先定量评估了疫情对经济和环境的短期和长期的影响,基于此分析疫情后全国碳市场政策的实施效果。结果显示:疫情造成中国经济活动以及碳排放短期显著下降,2020年中国全年的GDP增长较基准情景下降3.84%,能源消费和碳排放分别较基准情景下降4.47%和5.12%。但是,接下来的十年内,GDP会逐渐恢复至基准情景,累计碳排放较基准情景增加0.06%。在没有其他气候政策干预的情况下,疫情带来的短期减排效应不足以保障中国各项气候目标的实现,落实碳市场政策十分必要。疫情之后启动全国碳市场,可以促进投资、减少能源使用和碳排放,到2030年,能源消费将下降7.44%,碳排放下降10.49%,碳价为229.73元/t。国外疫情若在2021年还不能得到控制,将会继续影响中国的对外贸易,使得中国GDP损失略有提高,但不会改变国内疫情之后经济恢复的大趋势。     

自然资源资产负债表编制的理论与实践

自然资源资产负债表在国内外都是一个全新的课题,然而学术界关于自然资源核算、环境经济核算、国家资产负债表编制和生态系统服务评估等方向的研究由来已久,为我国自然资源资产负债表的编制提供了大量可资借鉴的学术成果。本文在综述相关领域研究进展的基础上,基于会计学、经济学、资源环境科学等学科视角论述了自然资源资产负债表编制的理论基础,辨析了自然资源资产、负债和净资产等核心概念的内涵,从基本假设、表式结构、数据来源等方面探讨了自然资源资产负债表的框架体系,并回顾了当前自然资源资产负债表编制的实践经验,以期为深化自然资源资产负债表研究提供科学参考。     

Long memory in energy futures markets: Further evidence

This paper investigates long memory (or long-range dependence) in price returns and volatilities of energy futures contracts with different maturities. Based on a modified rescaled range analysis and three local Whittle methods, the results from rolling sample test suggest that the returns showed little or no long-range dependence over time but the volatilities displayed significant time-varying long-range dependence. Our evidence shows that some extreme events could cause long memory in returns and volatilities, leading to market inefficiency. Employing multiscale analysis, we find that the returns displayed no long-range dependence for any of the chosen time scales. Significant long-range dependence only existed in volatilities for daily time scales but not for monthly or yearly time scales.     

POTENTIAL ECONOMIC IMPACTS OF CHANGES IN WATER AVAILABILITY ON AGRICULTURE IN THE TRUCKEE AND CARSON RIVER BASINS,NEVADA, USA1

ABSTRACT: Effects of climate change are likely to be detected in nearly all sectors and regions of the economy, with both winners and losers. One of the consequences of climatic changes could be altered regional water supplies. This paper presents an investigation of regional agricultural implications of changes in water availability. Specifically, using a profit maximization approach, the economic consequences of altered water availability in the Great Basin of Nevada are analyzed in terms of the effects on net returns of agricultural producers. Under the scenarios analyzed in this paper, it is found that with adequate water systems, increase in streamflow and consequent increase in water availability could significantly benefit agricultural producers of this region. Net returns to irrigators could increase by 8 to 13 percent, not taking into account the possibility of changes in crop yields and prices. It is also shown that the benefits from increased water availability are sensitive to likely crop yield and price changes. The potential for adverse effects of climatic changes on water supply is also considered by analyzing the effects of decreased water availability. Under decreased water availability scenarios, farmer net returns decrease substantially.     

The prospects of tropical timber plantation investment funds

As financial markets start to acknowledge the significance of environmental issues, it is interesting to analyse how they combine finance and sustainable development. Dutch investment funds participating in tropical forest plantations project high expected returns. However, they carry huge financial risks, in particular country risk, currency risk, price risk and credit risk. The environmental and developmental returns appear to be positive but rather small. In addition, the environmental and developmental risks do not appear to be very large, as most plantations are established on former farmland and the quantitative impact of the plantations is still limited.     

基于 SEEA 的自然资源资产核算指标的国际比较

本文从实物型、价值型自然资源资产账户及自然资源资产流量账户三方面对参照环境经济综合核算体系(SEEA)开展自然资源和环境经济核算的海外典型国家的核算指标进行比较分析,为编制我国自然资源资产核算框架提供参考借鉴。从五个典型国家的实践上看,各国的自然资源资产核算体系趋向与国民经济核算相对接;核算资源类别注重资源对社会经济的贡献度、资源数据可获得性以及资源核算的难易程度;核算账户及指标设置突出统计的实现,缺乏核算分析。基于此,本文提出,我国在开展自然资源资产核算时可借鉴国民经济核算的做法及已出台的各类资源分类标准,编制分类与综合资源核算账户、全国与地区专项资源核算账户;突出设置资源变化类指标,注重核算资源的流;探索编制自然资源资产生态账户,考虑实现资源核算指标与负债表指标的衔接,为自然资源资产负债表编制提供信息。     

News sentiment to market impact and its feedback effect

Although market feedback on investor sentiment effect has been conceptually identified in the existing finance literature and investment strategies have been designed to explore this effect, there lacks systematic analysis in a quantified manner on such effect. Digitization of news articles and the advancement of computational intelligence applications have led to a growing influence of news sentiment over financial markets in recent years. News sentiment has often been used as a proxy for gauging investor sentiment and reflecting the aggregate confidence of the society toward future market. Previous studies have primarily focused on elucidating the unidirectional impact of news sentiment on market returns and not vice versa. In this study, we analyze more than 12 millions of news articles and document the presence of a significant feedback effect between news sentiment and market returns across the major indices in the US financial market. More specifically, we find that news sentiment exhibits a lag-5 effect on market returns and conversely market returns elicit consistent lag-1 effects on news sentiment. This aligns well with our intuition that news sentiment drives trading activity and investment decisions. In turn, heightened investment activity further stimulates involuntary responses, which manifest in the form of more news coverage and publications. The evidence presented highlights the strong correlation between news sentiment and market returns and demonstrates the benefits of advancing knowledge in data-driven modeling and its interaction with market movements.     

Due diligence assessment of non-financial risk: Prophylaxis for the purchaser

Most large mining companies grow by acquisition and conduct due diligence assessments in order to identify the opportunities and risks associated with potential acquisitions.Due diligence assessment is usually restricted to considering the financial aspects of an asset, and often overlooks the non-financial risks that may compromise the economic viability or operability of a project. However, experience has shown that neglecting non-financial risk areas such as environmental, socio-economic and sustainability performance may be problematic and, under extreme circumstances, potentially disastrous, particularly in a developing world context.This paper examines the due diligence process and identifies the limitations of conventional assessments based solely on financial risk. It presents practical recommendations on structuring due diligence assessments to consider non-financial risk so that the full risk profile of an asset can be identified.     

A TRADE-OFF ANALYSIS OF ALTERNATIVE WATER USES1

ABSTRACT: In the western United States, hydropower and agriculture often cempete for surface waters. Since water markets are imperfect, allocations are often made through institutional arrangements and policy The purpose of this paper is to compare the gross water returns from agriculture with hydropower in terms of water use in Idaho. For the year 1986, returns from agriculture averaged $200 per acre-foot, and returns from hydropower averaged $8.00 per acre-foot.     

Economic feasibility of no-tillage and manure for soil carbon sequestration in corn production in northeastern Kansas

This study examined the economic potential of no-tillage versus conventional tillage to sequester soil carbon by using two rates of commercial N fertilizer or beef cattle manure for continuous corn (Zea mays L.) production. Yields, input rates, field operations, and prices from an experiment were used to simulate a distribution of net returns for eight production systems. Carbon release values from direct, embodied, and feedstock energies were estimated for each system, and were used with soil carbon sequestration rates from soil tests to determine the amount of net carbon sequestered by each system. The values of carbon credits that provide an incentive for managers to adopt production systems that sequester carbon at greater rates were derived. No-till systems had greater annual soil carbon gains, net carbon gains, and net returns than conventional tillage systems. Systems that used beef cattle manure had greater soil carbon gains and net carbon gains, but lower net returns, than systems that used commercial N fertilizer. Carbon credits would be needed to encourage the use of manure-fertilized cropping systems.