@railpath/finance-toolkit
Version:
Production-ready finance library for portfolio construction, risk analytics, quantitative metrics, and ML-based regime detection
16 lines (15 loc) • 717 B
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.ExpectedShortfallOptionsSchema = void 0;
const zod_1 = require("zod");
/**
* Zod schema for Expected Shortfall calculation options
*/
exports.ExpectedShortfallOptionsSchema = zod_1.z.object({
/** Confidence level (e.g., 0.95 for 95%) */
confidenceLevel: zod_1.z.number().min(0).max(1).describe('Confidence level between 0 and 1'),
/** Method to use for calculation */
method: zod_1.z.enum(['historical', 'parametric', 'monteCarlo']).optional().default('historical'),
/** Number of simulations for Monte Carlo (if applicable) */
simulations: zod_1.z.number().int().positive().optional().default(10000),
});