The Mekong - Applications of Value at Risk (VaR) and Conditional Value at Risk (CVaR) simulation to the benefits, costs and consequences of water resources development in a large river basin
نویسندگان
چکیده
The world’s tenth largest river in terms of annual flow volume, the Mekong is comparatively undeveloped in terms of its exploitable water resources, so that its hydrological regime remains largely natural and unregulated. However, this is about to change given the scale of water resources schemes proposed over the next two decades. These include over 23 cubic kilometres of reservoir storage behind a cascade of hydropower dams already under construction on the mainstream in Yunnan, China, and the additional hydropower regulation on major tributary systems that is planned in Laos. There are further proposals to divert substantial volumes of flow from the main stream into the water stressed regions of northeast Thailand, while the potential for irrigation expansion, particularly in Cambodia, is considerable.
منابع مشابه
Risk measurement and Implied volatility under Minimal Entropy Martingale Measure for Levy process
This paper focuses on two main issues that are based on two important concepts: exponential Levy process and minimal entropy martingale measure. First, we intend to obtain risk measurement such as value-at-risk (VaR) and conditional value-at-risk (CvaR) using Monte-Carlo methodunder minimal entropy martingale measure (MEMM) for exponential Levy process. This Martingale measure is used for the...
متن کاملOptimal Portfolio Selection for Tehran Stock Exchange Using Conditional, Partitioned and Worst-case Value at Risk Measures
This paper presents an optimal portfolio selection approach based on value at risk (VaR), conditional value at risk (CVaR), worst-case value at risk (WVaR) and partitioned value at risk (PVaR) measures as well as calculating these risk measures. Mathematical solution methods for solving these optimization problems are inadequate and very complex for a portfolio with high number of assets. For t...
متن کاملUsing MODEA and MODM with Different Risk Measures for Portfolio Optimization
The purpose of this study is to develop portfolio optimization and assets allocation using our proposed models. The study is based on a non-parametric efficiency analysis tool, namely Data Envelopment Analysis (DEA). Conventional DEA models assume non-negative data for inputs and outputs. However, many of these data take the negative value, therefore we propose the MeanSharp-βRisk (MShβR) model...
متن کاملThree steps method for portfolio optimization by using Conditional Value at Risk measure
Comprehensive methods must be used for portfolio optimization. For this purpose, financial data of stock companies, inputs and outputs variable, the risk measure and investor’s preferences must be considered. By considering these items, we propose a method for portfolio optimization. In this paper, we used financial data of companies for screening the stock companies. We used Conditional Value ...
متن کاملFinancial Risk Modeling with Markova Chain
Investors use different approaches to select optimal portfolio. so, Optimal investment choices according to return can be interpreted in different models. The traditional approach to allocate portfolio selection called a mean - variance explains. Another approach is Markov chain. Markov chain is a random process without memory. This means that the conditional probability distribution of the nex...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005