Analysis and application of financial engineering in index enhancement strategy of wind biased hybrid fund

Целью данной статьи является обсуждение различных характеристик индекса смешанных фондов Wind Parity, а также представление и анализ того, как используются финансовый инжиниринг и компьютеризированное количественное улучшение для совершенствования стратегии на основе индекса, а также оценка и подтверждение эффективности процесса и выводов. Дается представление о том, как интеллектуальное компьютерное моделирование может помочь лучше инвестировать средства и управлять финансовым состоянием в условиях текущего развития цифровой экономики. Анализируется передовая инвестиционная методология для эффективного управления инвестициями в будущем. With the rapid development of China’s economy, the wealth of Chinese residents has been growing cumulatively along with the dividends of the era of reform and opening up. By the end of 2023, the balance of China’s residents’ deposits had reached about 137.88 trillion dollars, and the accompanying investment and wealth management boom among residents was even more booming. By the end of 2023, the size of securities investment funds of various investment types that accompany them amounted to $27.6 trillion, and the number of products is also growing rapidly. Of course, investors face increasing challenges when choosing funds: whether to invest in bonds, stocks, futures or commodities; whether to invest in the U.S. market, the Chinese market, or the emerging markets of Europe or Southeast Asia. In order to meet this challenge, an index called “Wind Equity Mixed” has emerged in China’s investment market and has attracted much attention due to its long term outperformance. The purpose of this paper is to discuss the various characteristics of the Wind Parity Mixed Fund Index, and to introduce and analyze how we use financial engineering and computerized quantitative enhancement to enhance the strategy on the basis of the index, and to evaluate and validate the implementation of the process and conclusions. Through this paper, we aim to provide our readers and investors with an in-depth introduction to how intelligent computer modeling can help us better invest our funds and manage our wealth in the current development of the digital economy, as well as to introduce this cutting-edge investment methodology and logic, and to look forward together to the new trends of investment management in the future.