The Influence of Bond Market Opening in Trade Field on RMB Internationalization Foreign Exchange Rate

In order to verify that the open bond market is the most direct choice to promote the internationalization of RMB,the empirical analysis method is used to analyze the impact of bond liberalization on the internationalization of RMB foreign exchange rate.Firstly,the data source processing method of empirical analysis is introduced.Then the dynamic panel data regression model and panel threshold model are built to verify the influence factors of RMB internationalization foreign exchange rate and the influence of debt market opening on RMB foreign exchange rate,respectively.The results show that the opening of the creditor's rights market has a significant positive promoting effect on the internationalization of RMB foreign exchange rate,and the development of the domestic creditor's rights market has a significant promoting effect on the internationalization of RMB foreign exchange rate.The study has a certain role in promoting the status of China's currency in the international community.

Foreign Exchange Rate Reform

China must expand opening up and develop foreign trade and economic cooperation to make the Chinese and international economies complementary and speed up the modernization drive. The most basic needs are to intensify restructuring of the foreign trade system, set up rules and regulations in line with the

An Analysis of the Determinants of the Changes in China's Foreign Exchange Reserves' Nominal and Real Rates of Return

We use decomposition and regression to examine the reasons for the changes in nominal and real rates of return of China＇s foreign exchange reserves between 2002 and 2009. The results show that the US financial market risk premium is the most important determinant of changes in the nominal rate of return, while the US dollar exchange rate and the bulk commodity price are the two key determinants of changes in the real rate of return. From empirically based research, one may conclude that the loose monetary policy of the US Federal Reserve increases China＇s foreign exchange reserves＇ nominal rate of return but decreases the real rate of return and that the European debt crisis has an uncertain impact on China＇s foreign exchange reserves＇ nominal rate of return but may well raise the real rate of return.

A Bayesian Nonparametric Investigation of the Predictive Effect of Exchange Rates on Commodity Prices

This study proposes a full Bayesian nonparametric procedure to investigate the predictive power of exchange rates in relation to commodity prices for three commodity-exporting countries:Canada,Australia,and New Zealand.We propose a new time-dependent infinite mixture of a normal linear regression model of the conditional distribution of the commodity price index.The mixing weights follow a set of Probit stick-breaking priors that are time-varying.We find that exchange rates have a positive predictive effect in general,but accounting for time variation does not improve forecasting performance.By contrast,the intercept in the regression and the lagged dependent variable show signs of parameter change over time in most cases,which is important in forecasting both the mean and the density of commodity prices one period ahead.The results also suggest that the variance is a large source of the time variation in the conditional distribution of commodity prices.

Analysis on Forming Reason of RMB Appreciation Expectation

Since 2003, there has been a strong RMB appreciation expectation in the market. RMB exchange rate becomes the world focus again. This paper insists that the depreciation pressure of US dollar is the main reason that causes RMB appreciation expectation; the ＂double price action＂ of the Chinese tradable goods and non-tradable goods is the special reason that leads to RMB appreciation expectation; furthermore, the asymmetric foreign exchange rate management system in China strengthens RMB appreciation expectation.

A GENERAL APPROACH BASED ON AUTOCORRELATION TO DETERMINE INPUT VARIABLES OF NEURAL NETWORKS FOR TIME SERIES FORECASTING

Input selection is probably one of the most critical decision issues in neural network designing, because it has a great impact on forecasting performance. Among the many applications of artificial neural networks to finance, time series forecasting is perhaps one of the most challenging issues. Considering the features of neural networks, we propose a general approach called Autocorrelation Criterion (AC) to determine the inputs variables for a neural network. The purpose is to seek optimal lag periods, which are more predictive and less correlated. AC is a data-driven approach in that there is no prior assumptiona bout the models for time series under study. So it has extensive applications and avoids a lengthy experimentation and tinkering in input selection. We apply the approach to the determination of input variables for foreign exchange rate forecasting and conductcomparisons between AC and information-based in-sample model selection criterion. The experiment results show that AC outperforms information-based in-sample model selection criterion.

Valuation and Hedging Strategy of Currency Options under Regime-Switching Jump-Diffusion Model

The main purpose of this thesis is in analyzing and empirically simulating risk minimizing European foreign exchange option pricing and hedging strategy when the spot foreign exchange rate is governed by a Markov-modulated jump-diffusion model. The domestic and foreign money market interest rates, the drift and the volatility of the exchange rate dynamics all depend on a continuous-time hidden Markov chain which can be interpreted as the states of a macro-economy. In this paper, we will provide a practical lognormal diffusion dynamic of the spot foreign exchange rate for market practitioners. We employing the minimal martingale measure to demonstrate a system of coupled partial-differential-integral equations satisfied by the currency option price and attain the corresponding hedging schemes and the residual risk. Numerical simulations of the double exponential jump diffusion regime-switching model are used to illustrate the different effects of the various parameters on currency option prices.

Premiums between Cross-listed Shares:Determinants and Assessment of Financial Reform Policy Effectiveness

This paper explores determinants of price premiums between A-share and American depositary receipts(ADR)or H-share and sheds light on policies using daily data from cross-listed companies from 2002-2020.Market sentiment and financial openness are critical in explaining both types of price premiums.Expected exchange rate changes significantly impact the A-share versus ADR premium but liquidity is essential for the A-share versus H-share premium.The introduction of Shanghai-Hong Kong Stock Connect in November 2014 has effectively increased the price discovery capacity of the A-share market,and investors were more adaptive to the RMB foreign exchange rate volatility after Chinese exchange rate system reform in 2015.The paper provides insights into future capital market reform in China.