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Heterogeneous expectations, IPO Underpricing and issuing mechanism

Zhang, Xiao-cheng; Zhang, Miaomiao; Huang, Shao-an; … - In: Financial innovation : FIN 1 (2015) 11, pp. 1-14

challenge for China's securities market. Methods: In this paper, using behavioral finance theory and game theory, we build the …

Persistent link: https://www.econbiz.de/10011541215

Corporate pledgeable asset ownership and stock price crash risk

Jung, Hail; Choi, Sanghak; Lee, Junyoup; Woo, Sanggeum - In: Financial innovation : FIN 8 (2022), pp. 1-28

We investigate how a firm's corporate pledgeable asset ownership (CPAO) affects the risk of future stock price crashes. Using pledgeable asset ownership and crash risk data for a large sample of U.S. firms, we provide novel empirical evidence that a firm's risk of a future stock price crash...

Persistent link: https://www.econbiz.de/10013170244

An empirical behavioral order-driven model with price limit rules

Gu, Gao-Feng; Xiong, Xiong; Xu, Hai-Chuan; Zhang, Wei; … - In: Financial innovation : FIN 7 (2021), pp. 1-24

We propose an empirical behavioral order-driven (EBOD) model with price limit rules, which consists of an order placement process and an order cancellation process. All the ingredients of the model are determined based on the empirical microscopic regularities in the order flows of stocks traded...

Persistent link: https://www.econbiz.de/10012704142

A theory of very short-time price change : security price drivers in times of high-frequency trading

Virgilio, Gianluca P. M. - In: Financial innovation : FIN 8 (2022), pp. 1-34

, financial markets face many ultrafast orders, yet a coherent theory of price change at time scales incomprehensible by humans … and only manageable by computers is still lacking. The theory presented in this paper attempts to fill this gap. The … outcome of such a theory is important for purposes of market stability, crisis avoidance, investment planning, risk management …

Persistent link: https://www.econbiz.de/10013272630

Uncertainty index and stock volatility prediction : evidence from international markets

Gong, Xue; Zhang, Weiguo; Xu, Weijun; Li, Zhe - In: Financial innovation : FIN 8 (2022), pp. 1-44

This study investigates the predictability of a fixed uncertainty index (UI) for realized variances (volatility) in the international stock markets from a high-frequency perspective. We construct a composite UI based on the scaled principal component analysis (s-PCA) method and demonstrate that...

Persistent link: https://www.econbiz.de/10013272632

Detecting the lead-lag effect in stock markets : definition, patterns, and investment strategies

Li, Yongli; Wang, Tianchen; Sun, Baiqing; Liu, Chao - In: Financial innovation : FIN 8 (2022), pp. 1-36

Human activities widely exhibit a power-law distribution. Considering stock trading as a typical human activity in the financial domain, the first aim of this paper is to validate whether the well-known power-law distribution can be observed in this activity. Interestingly, this paper determines...

Persistent link: https://www.econbiz.de/10013272642

A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction

Nayak, Sarat; Mishra, Bijan Bihari - In: Financial innovation : FIN 5 (2019) 38, pp. 1-34

Accurate prediction of stock market behavior is a challenging issue for financial forecasting. Artificial neural networks, such as multilayer perceptron have been established as better approximation and classification models for this domain. This study proposes a chemical reaction optimization...

Persistent link: https://www.econbiz.de/10012268496

Evaluation of forecasting methods from selected stock market returns

Mallikarjuna, M.; Rao, R. Prabhakara - In: Financial innovation : FIN 5 (2019) 40, pp. 1-16

Forecasting stock market returns is one of the most effective tools for risk management and portfolio diversification. There are several forecasting techniques in the literature for obtaining accurate forecasts for investment decision making. Numerous empirical studies have employed such methods...

Persistent link: https://www.econbiz.de/10012268500

Does the EVA valuation model explain the market value of equity better under changing required return than constant required return?

Behera, Sujata - In: Financial innovation : FIN 6 (2020) 9, pp. 1-23

Through the Economic-Value-Added (EVA) valuation model, the expected market value of equity can be determined by adding the book value of equity with the present value of expected EVAs under the assumption of constant required return and constant return on equity. The equation of EVA valuation...

Persistent link: https://www.econbiz.de/10012268573

Extreme learning with chemical reaction optimization for stock volatility prediction

Nayak, Sarat Chandra; Mishra, Bijan Bihari - In: Financial innovation : FIN 6 (2020) 16, pp. 1-23

Extreme learning machine (ELM) allows for fast learning and better generalization performance than conventional gradient-based learning. However, the possible inclusion of non-optimal weight and bias due to random selection and the need for more hidden neurons adversely influence network...

Persistent link: https://www.econbiz.de/10012268745