Most of existing data processing approaches of wireless sensor networks are real-time. However, historical data of wireless sensor networks are also significant for various applications. No previous study has specifically addressed distributed historical data query processing. In this paper, we propose an Index based Historical Data Query Processing scheme which stores historical data locally a...

Executive summary Future investment returns are uncertain; no reliable means to foresee them exists. However, institutions and individuals making financial decisions need an approach to model the range of possible future returns. Any approach requires two fundamental ingredients: • First, long-term historical returns must be examined to determine the attributes and interrelationships that chara...

Interest rate guides financial resources to effectively flow and allocate, which prompt economic structure adjusting and economic development. Risk-measurement of interest rate is the basis of the risk management. Thus, accurately measuring interest rate risk is extremely significant. Based on the inter-bank bond repurchase rate as the target, this paper uses value at risk (VAR) to quantify int...

This paper investigates whether Taylor rule can better guide the monetary policy in developing economies. Existing literatures do not focus on the implementability of rule-based monetary policy in emerging economies. In last two decades a number of industrialised countries have gained success in achieving macroeconomic policy goals by switching to rule-based policy regime from discretionary fra...

Timeand state-domain methods are two common approaches for nonparametric prediction. The former predominantly uses the data in the recent history while the latter mainly relies on historical information. The question of combining these two pieces of valuable information is an interesting challenge in statistics. We surmount this problem via dynamically integrating information from both the time...

Ensemble prediction systems are used operationally to make probabilistic streamflow forecasts for seasonal time scales. However, hydrological models used for ensemble streamflow prediction often have simulation biases that degrade forecast quality and limit the operational usefulness of the forecasts. This study evaluates three biascorrection methods for ensemble streamflow volume forecasts. Al...

It is difficult to find an existing single model which is able to simultaneously model exceedances over thresholds in multivariate financial time series. A new modeling approach, which is a combination of max-stable processes, GARCH processes, and Markov processes, is proposed. Combining Markov processes and max-stable processes defines a new statistical model which has the flexibility of model...

Market risk exposure plays a key role for financial institutions risk management. A possible measure for this exposure is to evaluate losses likely to incur when the price of the portfolio’s assets declines using Value-at-Risk (VaR) estimates, one of the most prominent measure of financial downside market risk. This paper suggests an evolving possibilistic fuzzy modeling approach for VaR estima...