Books

This forthcoming textbook introduces regression analysis through three connected goals: description, prediction, and causal analysis. It combines statistical foundations with practical implementation in both R and Python, and is designed for readers who want to connect regression theory with modern empirical practice in social science and medicine.

“Econometrics and Time Series Methods: Theory, Applications, and R Implementation” covers a wide range of topics including regression models, univariate and multivariate time series, volatility modeling, nonparametric and semiparametric methods, HAR inference, autoregressive filtering and state space models, nonstationary processes, continuous-time finance, and machine learning. The book emphasizes hands-on implementation in R, with extensive examples based on real financial and macroeconomic data, aiming to integrate theory, methods, empirical applications, and computation in a unified way.

This is a Chinese-language textbook on financial technology.

This is a Chinese-language textbook on financial econometrics.

This book chapter examines Chinese bear market episodes and their underlying mechanisms, and provides policy-oriented suggestions based on China’s market environment. The discussion connects market behavior with institutional settings and regulatory context, offering a structured reference for understanding downside market dynamics.

In this chapter, which concerned the 2006–2007 bull market, we analyzed and discussed a number of features related to bull markets in China. Specifically, their formation mechanism, performance characteristics, relevant empirical observations related to index design, as well as their terminal signals. This chapter is structured as follows. In the first section, we will detect the bearish/bullish phases of Chinese stock markets and provide some background information and historical facts. In the second section, we will analyze the ‘risk-return’ trade-off relationships in Chinese stock markets with a focus on the differences of these relationship between bearish and bullish phases. In the third section, we will derive an asset pricing model based on information diffusion; and establish a tri-variate trade-off relationship in terms of amplitude, duration and volatility persistence.1 Finally, we will analyze some institutional problems of Chinese stock markets that have emerged during their adjustment phases.