Over the period, two significant advancements ie shrinking of the sensor size and improved
communication capability, lead the sensor-based internet-of-things (SBIoT) to mature …

Purpose The aim of this paper is to systematically review the literature published in
recognized journals focused on recognition-based heuristics and their effect on investment …

The representative heuristic and overconfidence are cognitive biases that influence the
decisions of the investors in the stock market. Overconfident investors tend to rely on …

Examining investors' sentiments, behavioral biases and investment decisions during COVID-19
in the emerging stock market: a case of Pakistan stock market | Emerald Insight Books and …

The study investigated that whether the relationship between macroeconomic fluctuations
and stock indexes is symmetrical or asymmetrical in nature. This study employed nonlinear …

This study examines the determinants of overconfidence bias that, in turn, influence
investment performance via risk propensity. This study also investigates the three cognitive …

Purpose The purpose of this paper is to investigate the effect of heuristic biases, namely,
availability bias and representativeness bias on investors' investment decisions in the …

This paper proposes a novel integrated approach incorporating grey relational analysis,
corresponding correlation test, with vector autoregression and panel vector autoregression …

Purpose The objective of this paper is to explore how anchoring affects the dynamics of
investor decision-making with regard to mutual funds and how this bias differs amongst …

In order to improve the stock price prediction effect, based on the improved PSO algorithm,
this paper constructs a stock price prediction model through neural network. Based on the …