In the tropical mountain of Southeast Asia, slash-and-burn (S/B) agriculture is an important food production system and widely practiced in many countries. The ecosystem carbon stock in this land use is linked not only to the carbon exchange with the atmosphere but also to the food and resource security. In this study, we revealed the land use and ecosystem carbon stock in the northern part of ...

Valued attributes of forests encourage surveys and inventories of multiple attributes that need quantitative definition and integration followed by comprehensible presentation. The Forest Identity defines the four attributes of expanse, growing stock, biomass and carbon in terms of measurable forest area (A), forest density (D), biomass to growing stock ratio (B), and carbon concentration (C). ...

This study documents the statistical properties of the stock returns on the Istanbul Stock Exchange (ISE) for the January 1988 to December 1999 period and tries to assess the evolution of the underlying stochastic structure over this time period. It also investigates empirically the relative efficiency of the ISE to test whether the rapid development of this market over the last decade caused i...

The use of intelligent systems for stock market predictions has been widely established. This paper deals with the application of hybridized soft computing techniques for automated stock market forecasting and trend analysis. We make use of a neural network for one day ahead stock forecasting and a neuro-fuzzy system for analyzing the trend of the predicted stock values. To demonstrate the prop...

Employing the dataset of WTI oil spot price and stock price index in China Brazil, India, US, German, France, UK and Japan, this paper obtains five subinterval of whole sample range through a nonparametric multiple change point algorithms. Furthermore, it analyses dependence between oil spot price and stock price index through copula model and computes the value of VaR and ES based on simulatio...

Stock market prediction is important and of great interest because successful prediction of stock prices may promise attractive benefits. These tasks are highly complicated and very difficult. In this paper, we investigate the predictability of stock market return with Adaptive Network-Based Fuzzy Inference System (ANFIS). The objective of this study is to determine whether an ANFIS algorithm i...

Site index is an important forest inventory attribute that relates productivity and growth expectation of forests over time. In forest inventory programs, site index is used in conjunction with other forest inventory attributes (i.e., height, age) for the estimation of stand volume. In turn, stand volumes are used to estimate biomass (and biomass components) and enable conversion to carbon. In ...