/**
 * Calculates Value at Risk (VaR) for a time series of returns using parametric, historical, or Monte Carlo methods.
 *
 * @param data - Array of objects representing time series data, each containing a column with returns.
 * @param returnsColumn - The key in each data object that contains the return value.
 * @param resultColumn - The key in each data object where the calculated VaR will be stored.
 * @param confidenceLevel - The confidence level for VaR calculation (e.g., 0.05 for 5% VaR, default is 0.05).
 * @param windowSize - The number of periods to use for the rolling window calculation (default is 252).
 * @param method - The method to use for VaR calculation: 'parametric', 'historical', or 'monteCarlo' (default is 'historical').
 * @returns A new array of objects with VaR values added in the specified result column. If insufficient data is available for a window, the result is `null`.
 */
export declare function calculateVaR(data: Array<Record<string, unknown>>, returnsColumn: string, resultColumn: string, confidenceLevel?: number, // 5% VaR (95% confidence)
windowSize?: number, method?: 'parametric' | 'historical' | 'monteCarlo'): Array<Record<string, unknown>>;
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