: 1h nmr spectra of a series of enaminones r-co-ch=c(nhch2ph)-r  [1, r=ch3; 2, r=c6h5; 3, r=cf3; 4, r=ch2ch2ch2; 5, r=ch2c(ch3)2ch2], were obtained in the presence of trifluoroacetic acid in cdcl3 or dmso-d6 at 28 °c. steric, solvent, electronic and hydrogen bonding effects on the rates of acid-catalyzed nh proton exchanges were investigated. rate constants were calculated by 1h nmr line shape ...

Predicting a currency Exchange rate and performing analysis is an action to try determine the price valuation of or other financial instrument traded on exchange platform. Bitcoin consensus network that enables new payment systems fully digital money. first decentralized peer controlled by its users without any central authority intermediary. From user's point view, like cash in internet world....

The international financial crisis has significantly affected every economy in the world. After the financial crisis, there are many factors together that aggravate the uncertainty of the Chinese exchange rate. A GM (1, 1) model is proposed for predicting short-term changes in the Chinese exchange rate. The Weakening Operator method is applied to improve the prediction accuracy. The results sho...

In this study a regime switching approach is applied to estimate the chartist and fundamentalist (c&f) exchange rate model originally proposed by Frankel and Froot (1986). The empirical results suggest that this model does successfully explain daily DM/Dollar forward exchange rate dynamics from 1982 to 1998. Moreover, our findings turned out to be relative robust by estimating the model in subs...

A feasibility study of using of Dynamic Bayesian Networks in combination with ARMA modeling in exchange rate prediction is presented. A new algorithm (ARMA-DBN) is constructed and applied to the exchange rate forecast of RMB. Results show that the improved dynamic Bayesian forecast algorithm has better performance than the standard ARMA model.