- Financial Markets and Investment Strategies
- Corporate Finance and Governance
- Complex Systems and Time Series Analysis
- Auditing, Earnings Management, Governance
- Stock Market Forecasting Methods
- Physical Unclonable Functions (PUFs) and Hardware Security
- Market Dynamics and Volatility
- Cryptographic Implementations and Security
- Corporate Social Responsibility Reporting
- Global Financial Crisis and Policies
- Chaos-based Image/Signal Encryption
- Risk Management in Financial Firms
- Banking stability, regulation, efficiency
- Media Influence and Politics
- Electrostatic Discharge in Electronics
- Soil and Water Nutrient Dynamics
- Misinformation and Its Impacts
- Advanced Malware Detection Techniques
- Housing Market and Economics
- Wastewater Treatment and Nitrogen Removal
- Constructed Wetlands for Wastewater Treatment
- Insurance and Financial Risk Management
- Law, Economics, and Judicial Systems
- State Capitalism and Financial Governance
- Sustainable Finance and Green Bonds
Dalian University of Technology
2019-2025
Tianjin University
2011-2023
University of Manitoba
2019-2021
Tianjin University of Finance and Economics
2019
Columbia University
2018
University of Cincinnati
2017
Beijing Language and Culture University
2016
Abstract This paper studies the influence of institutional ownership on Chinese A‐shares' ESG performance. Findings reveal positive improvement from investors, and this impact is stronger in firms with better‐expected performance low initial Besides, heterogeneous investors have different influences, only a pressure‐resistant institution plays promotion role. Further based period following financial crisis when emphasising environmental protection policy that motivation reputation could be...
Abstract Attention allocation—investors allocate their attention disproportionately within a day—has implications on how the market responds to information. Using high‐frequency jumps detected in China, we show that underreacts overnight information shocks, and underreaction stems mainly from short‐leg stocks with highly negative jumps. In comparison, overreacts intraday overreaction long‐leg positive Moreover, pattern strengthens while attenuates during crashes, as investors pay limited...
Abstract Using a database of five successive short‐selling ban lifts in the Chinese stock market, we find that price efficiency gradually changes. Specifically, stocks can be shorted later improves more than earlier. Two hypotheses are tested to explain gradual changed efficiency: private information hypothesis and analysis capability hypothesis. We further show short selling is associated with public relationship grows stronger after each lift, which supports
The emergence of quantum computing and its impact on current cryptographic algorithms has triggered the migration to post-quantum cryptography (PQC). Among PQC candidates, CRYSTALS-Kyber is a key encapsulation mechanism (KEM) that stands out from National Institute Standards Technology (NIST) standardization project. While software implementations Kyber have been developed evaluated recently, Kyber's hardware implementations, especially designs with parallel architecture, are rarely...
Based on a comprehensive dataset of Chinese A-share stocks, we find significant evidence for analysts' anchoring in China. This behavior exists only when forecasts are lower than the industry median and correlates to series corporate characteristics. The following market reactions analyst discontinuous: without achieve higher positive returns next period, while those with bias have no influence returns. Further analyses based earnings response coefficient reveal that inhibits information...
Smart devices, especially Internet-connected typically incorporate security protocols and cryptographic algorithms to ensure the control flow integrity information security. However, there are various invasive non-invasive attacks trying tamper with these devices. Chip-level active shield has been proved be an effective countermeasure against attacks, but existing shields cannot utilized counter side-channel (SCAs). In this paper, we propose a multi-function protection scheme prototype...
Side channel analysis (SCA) attacks have become emerging threats to AI algorithms and deep neural network (DNN) models. However, most existing SCA focus on extracting models deployed embedded devices, such as microcontrollers. Accurate DNN accelerators are largely missing, leaving researchers with an (improper) assumption that DNNs may be immune due their complexity. In this paper, we propose a novel method, namely NNLeak extract complete FPGA-based accelerators. To achieve goal, first...
Side-channel analysis (SCA) attacks show an enormous threat to cryptographic integrated circuits (ICs). To address this threat, designers try adopt various countermeasures during the IC development process. However, many existing solutions are costly in terms of area, power and/or performance, and may require full-custom circuit design for proper implementations. In paper, we propose a tool, namely PathFinder, automatically identify leaky paths protect design, is compatible with commercial...
Taking March 17, 2014 as the time spit point when exchange rate floating range was expanded again, and using Vector Auto Regression model, impulse response function, variance decomposition, we make a comparative analysis is on dynamic changes in price guide effects among CNY, CNH NDF market this paper.Studies have shown that linkage three markets strengthened after expansion of fluctuations interval.The CHY plays more significant leading role NDF.The function has also increased, but...