A tree topology is a special type of structure in which many connected elements are arranged like branches of a tree, and is often used to organize computers in a company's network, or information in a database. Tree topologies and Chinese banking system are both a highly centered and hierarchical structure, sharing a wide range of analogies. This article mainly studies the market value, under the circumstances of crossholdings, of individual banks in a banking system, as well as the reliability of the banks at different tiers of the supply chain. This paper analyzes how the network propagates the reliability discontinuities caused by faults. A tree topology model is exploited to facilitate the interpretation. In this model, each node has two branches and at each tier of the supply chain there is one leaf node that does not expand further. There are cross holdings within the same tier but not between adjacent tiers. This paper finds out the relationship of one’s reliability with the respective position in the financial network. Two variables are taken into consideration: the multisourcing number as well as the complexity amounting to the level in which it is.In a nutshell, the bigger the multisourcing number is, the greater the reliability is. Also, the higher it is in the financial network, the greater the reliability is. In addition, the endogenous configuration of supply network provides a new method for the study of China's banking system.

In this paper, we examine whether bitcoin has the potential to become safe-haven asset that can rival gold in the future. We observed, compared and analyzed and the performance of bitcoin and gold in face of a falling market and inflation pressure. We can see if investors can rely on bitcoin to reduce risk exposure significantly through empirical tests. At the end of our research, we found that bitcoin did not perform as well as gold did when faced with market crash and inflation. Therefore, we conclude that bitcoin does not yet show the potential to possess risk-proof merits as gold, the traditional high-quality hedge asset. Gold would probably remain the preferred hedge asset against cryptocurrency for now.

The COVID-19 pandemic has had an impact on global economics, affecting the development of all industries, and the consumer industry is certainly one of the most obvious sectors. VAR and the ARMA-GARCH model are built based on empirical research to investigate the effects of the COVID-19 newly confirmed cases on the return rate and volatility of the consumption index. The conclusions are as follows: In the short term, global and Chinese consumption will be significantly impacted by the COVID-19 pandemic. However, tt is unclear whether COVID-19 will have a negative long-term effect on the consumer industries.

Stock market forecasting is a challenging field for investors to make profits in the financial market. Investors need to understand that financial markets are more unstable and affected by many external factors. Time series analysis of daily stock data and the establishment of prediction model are very complex. The development of stock market forecasting technology is changing with each passing day and deep learning method is more and more used in finance field. This paper review the stock predicting method based on LSTM from the year 2015 to 2022.