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  1. No Access

    Article

    LightGBM-BES-BiLSTM Carbon Price Prediction Based on Environmental Impact Factors

    A carbon trading price fusion prediction model is proposed to capture the non-linear, non-stationary, multi-frequency, and other irregular characteristics of carbon price data, as well as the temporal periodic...

    Peipei Wang, ** Zhou, Zhaonan Zeng in Computational Economics (2024)

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    Article

    Stock Returns Prediction Based on Implied Volatility Spread Under Network Perspective

    Using 50 ETF options data from the Shanghai Stock Exchange as samples, this paper explores the predictive power of option implied volatility spread (IVS) on stock market returns, mainly from a network perspect...

    Hairong Cui, Xurui Wang, **aojun Chu in Computational Economics (2024)

  3. No Access

    Article

    The Effect of News Photo Sentiment on Stock Price Crash Risk Based on Deep Learning Models

    This study examines the impact of investor sentiment on stock price crash risk from the perspective of news photo sentiment. First, the paper derives investor sentiment from news photos based on deep learning ...

    Gaoshan Wang, **aomin Wang in Computational Economics (2024)

  4. No Access

    Article

    Rational Spectral Collocation Method for Solving Black-Scholes and Heston Equations

    In this paper, we raise a new method for numerically solving the partial differential equations (PDEs) of the Black-Scholes and Heston models, which play an important role in financial option pricing theory. O...

    Yangyang Wang, Xunxiang Guo, Ke Wang in Computational Economics (2024)

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    Article

    A Hybrid Parallel Processing Strategy for Large-Scale DEA Computation

    Using data envelopment analysis (DEA) with large-scale data poses a big challenge to applications due to its computing-intensive nature. So far, various strategies have been proposed in academia to accelerate ...

    Shengqing Chang, **g**g Ding, Chenpeng Feng, Ruifeng Wang in Computational Economics (2024)

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    Article

    Improving Sliding Window Effect of LSTM in Stock Prediction Based on Econometrics Theory

    This study examines the influence of the sliding window in the LSTM model on its predictive performance in the stock market. The investigation encompasses three aspects: the impact of the stationarity of the o...

    **aoxiao Liu, Wei Wang in Computational Economics (2024)

  7. No Access

    Article

    Cross-Correlation Analysis of Crude Oil-Related Stock Markets in China Caused by the Conflict Between Russia and Ukraine

    In this study, we apply multifractal detrended fluctuation analysis (MF-DFA) to explore the differences in China’s financial markets efficiency around the Russia-Ukraine Conflict. We investigate the stock mark...

    Jian Wang, Wen**g Jiang, Menghao Huang, Wei Shao in Computational Economics (2024)

  8. No Access

    Article

    Valuations of Variance and Volatility Swaps Under Double Heston Jump-Diffusion Model With Approximative Fractional Stochastic Volatility

    In this paper, we study the variance and volatility swaps pricing problem under the framework of double Heston jump diffusion model with approximative fractional stochastic volatility. The pricing formulas of ...

    Ke Wang, Xunxiang Guo in Computational Economics (2024)

  9. No Access

    Article

    Robust Prediction Intervals for Valuation of Large Portfolios of Variable Annuities: A Comparative Study of Five Models

    Valuation of large portfolios of variable annuities (VAs) is a well-researched area in the actuarial science field. However, the study of producing reliable prediction intervals for prices has received compara...

    Tingting Sun, Haoyuan Wang, Donglin Wang in Computational Economics (2024)

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    Article

    Evolution of Complex Network Topology for Chinese Listed Companies Under the COVID-19 Pandemic

    The purpose of this study is to analyze the topological structure dynamics of the complex network of stocks before and after the outbreak of the COVID-19, so as to provide a basis for preventing financial risk...

    Kaihao Liang, Shuliang Li, Wenfeng Zhang, Zhuokui Wu, Jiaying He in Computational Economics (2024)

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    Article

    Sieve Bootstrap for Fixed-b Phillips–Perron Unit Root Test

    This paper extends the fixed-b Phillips–Perron unit root test, namely PP(fb), by using a sieve bootstrap method to deal with serial-correlated errors, especially negative moving average errors. We derive the asym...

    Zhenxin Wang, Shao** Wang, Yayi Yan in Computational Economics (2024)

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    Article

    Intelligent Prediction of Annual CO2 Emissions Under Data Decomposition Mode

    CO2 emissions have contributed to global warming and belong to high-noise, non-stationary and nonlinear systems. An accurate prediction method for annual CO2 emissions can improve the effectiveness of emission re...

    Yelin Wang, ** Yang, Zan Song, Julien Chevallier, Qingtai **ao in Computational Economics (2024)

  13. Article

    Open Access

    Improving Cointegration-Based Pairs Trading Strategy with Asymptotic Analyses and Convergence Rate Filters

    A pairs trading strategy (PTS) constructs a mean-reverting portfolio whose logarithmic value moves back and forth around a mean price level. It makes profits by longing (or shorting) the portfolio when it is u...

    Yen-Wu Ti, Tian-Shyr Dai, Kuan-Lun Wang, Hao-Han Chang in Computational Economics (2024)

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    Article

    Pricing Fade-in Options Under GARCH-Jump Processes

    In this paper, we investigate fade-in options under GARCH-jump processes. Specifically, we adopt NIG distributions to capture jump risk, and both market and individual jumps are considered. In the pricing mode...

    **ngchun Wang, Han Zhang in Computational Economics (2023)

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    Article

    Identifying Systemically Important Banks Based on an Improved DebtRank Model

    Considering two risk contagion channels, namely interbank lending and common asset holdings, we introduce the bank's default probability into the DebtRank model to construct an improved one and measured the ba...

    Hu Wang, Shouwei Li in Computational Economics (2023)

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    Article

    Bayesian Quantile Regression Analysis for Bivariate Vector Autoregressive Models with an Application to Financial Time Series

    To capture the conditional correlations between bivariate financial responses at different quantile levels, this paper considers the Bayesian quantile regression for bivariate vector autoregressive models. Wit...

    Kai Yang, Luan Zhao, Qian Hu, Wenshan Wang in Computational Economics (2023)

  17. No Access

    Article

    Research on ESG Investment Efficiency Regulation from the Perspective of Reciprocity and Evolutionary Game

    According to the information disclosure quality and investment return efficiency of ESG enterprises, this paper establishes a dynamic incentive mechanism based on return regulation considering the reciprocal p...

    Yinglin Wang, Leqi Chen, Jiaxin Zhuang in Computational Economics (2023)

  18. Article

    Market Efficiency and Cross-Correlations of Chinese New Energy Market with Other Assets: Evidence from Multifractality Analysis

    Despite the upgrading of the attention and investment of new energy in Chinese public, its market efficiency and associations with other assets are relatively rarely explored. This paper, firstly, explores the...

    Zeyi Fu, Hongli Niu, Weiqing Wang in Computational Economics (2023)

  19. No Access

    Article

    Systematic Research on Multi-dimensional and Multiple Correlation Contagion Networks of Extreme Risk in China’s Banking Industry

    The extreme risks of banks not only cause losses to themselves but also bring external risks to other financial institutions. Current research mainly focuses on the one-way risk spillover of financial institut...

    Qicheng Zhao, Zhouwei Wang, Yu** Song in Computational Economics (2023)

  20. No Access

    Article

    Quasi-Monte Carlo-Based Conditional Malliavin Method for Continuous-Time Asian Option Greeks

    Although many methods for computing the Greeks of discrete-time Asian options are proposed, few methods to calculate the Greeks of continuous-time Asian options are known. In this paper, we develop an integrat...

    Chao Yu, **aoqun Wang in Computational Economics (2023)

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