A Supply and Demand Framework for Bitcoin Price Forecasting

Journal of risk and financial management, Journal Year: 2025, Volume and Issue: 18(2), P. 66 - 66

Published: Jan. 30, 2025

We develop a flexible supply and demand equilibrium framework that can be used to pricing models forecast Bitcoin’s price trajectory based on its fixed, inelastic evolving dynamics. This approach integrates unique monetary attributes with drivers such as institutional adoption long-term holding patterns. Using the April 2024 halving baseline, we explore model scenarios varying assumptions about growth in supply-side constraints, calibrated real-world data. Our findings indicate sovereign accumulation significantly influence trajectories, increasing intensifying impact of constrained liquidity. Forecasts suggest modest withdrawals from liquid strategic reserves could lead substantial appreciation over medium term, while higher withdrawal levels may induce volatility due scarcity. These results highlight potential investment underline importance integrating economic fundamentals into forward-looking portfolio strategies. provides flexibility for testing different market scenarios, curve functional forms, parameterizations, offering tool investors policymakers considering role asset. By advancing fundamentals-based approach, this study contributes broader understanding how supply–demand dynamics behavior.

Language: Английский

Rethinking bitcoin's energy use through sustainable digital business models and resources monetization: A multiple case study analysis

Digital Business, Journal Year: 2025, Volume and Issue: unknown, P. 100114 - 100114

Published: Feb. 1, 2025

Language: Английский

Empirical Insights into Economic Viability: Integrating Bitcoin Mining with Biorefineries Using a Stochastic Model

Systems, Journal Year: 2025, Volume and Issue: 13(5), P. 359 - 359

Published: May 7, 2025

This study explores integrating Bitcoin mining with lignocellulosic biorefineries to create an additional revenue stream. Profits from can help offset internal costs, reduce business expenses, or lower consumer prices. Using sensitivity analysis and Monte Carlo simulations, this identifies key profitability drivers, such as electricity hardware starting year, operational time. Time emerged extremely sensitive factor showed that delaying operations significantly raised production costs the probability of profitable outcomes. In contrast, longer durations had a smaller yet sizable impact. Hardware computational efficiency, prices also strongly influenced The majority simulated events loss. Moreover, model marginal decreases over Nonetheless, demonstrated under favourable conditions, it is possible integrate into other productive ventures, thereby allowing for cost recovery using profits. For biorefinery mine maximise recovery, must start early, access low prices, preserve capital characterised by expenditure high revenues. Finally, discussion about opportunities, risks, regulations highlighted.

Language: Английский