• Kari Gooli
• CMA Dr. Jeelan Bash V

Crypto currencies have emerged as a distinct asset class with complex interactions with macroeconomic variables. Unlike traditional financial instruments, their sensitivity to economic indicators remains ambiguous. This study investigates the impact of key macroeconomic factors—Gross Domestic Product (GDP), Interest Rate (IR), Internet Rate (Int.R), and Human Capital Index (HCI)—on the valuation of selected crypto currencies: Bit coin (BTC), Ethereum (ETH), Binance Coin (BNB), and Tether (USDT). Using ANOVA and MANOVA statistical frameworks, the study evaluates both individual and multivariate effects of predictors on crypto currency prices. Variance Inflation Factor (VIF) and correlation analysis confirmed no serious multicollinearity, ensuring model stability and interpretability. The findings reveal that HCI consistently exerts a statistically significant influence on BTC, ETH, and BNB, while GDP shows significance only for BNB. Conversely, IR and Int.R demonstrate minimal predictive power across all models. USDT, as a stable coin, shows no significant relationships with any macroeconomic variables, reinforcing its design for price stability. Model diagnostics indicate the BNB model exhibits the best fit and predictive power (R² = 0.991), while USDT reflects the weakest explanatory strength (R² = 0.727). Despite the absence of significant multivariate effects in MANOVA, HCI demonstrated the strongest signal among all predictors. The study concludes that human capital is a crucial non-traditional macroeconomic driver for major crypto currencies, while traditional indicators like interest rates have limited explanatory relevance. These insights offer practical implications for investors seeking to incorporate macroeconomic intelligence into crypto currency investment strategies.

Cryptocurrency, Human Capital Index, ANOVA, MANOVA, Macroeconomic Indicators, Investment Strategy.

"CRYPTOCURRENCIES AND THE AI ECONOMY: A STATISTICAL EXPLORATION OF INFLUENTIAL MACRO FACTORS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.95-100, July-2025, Available :http://www.jetir.org/papers/JETIRGZ06020.pdf

"CRYPTOCURRENCIES AND THE AI ECONOMY: A STATISTICAL EXPLORATION OF INFLUENTIAL MACRO FACTORS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp95-100, July-2025, Available at : http://www.jetir.org/papers/JETIRGZ06020.pdf