2020年新冠肺炎疫情后的经济复苏：M国国家紧急债券投资策略与最大化慈善捐赠模型

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numpy as np

def investment_plan(): bonds = { '医药健康': { '风险等级': 5, '地方政府税率': 0, '到期年限': [2, 9, 20], '到期税前总收益': [4.45, 39.89, 232.11] }, '交通运输': { '风险等级': 2, '地方政府税率': 20, '到期年限': [3, 12, 25], '到期税前总收益': [8.0, 58.27, 300.54] }, '科技研发': { '风险等级': 4, '地方政府税率': 0, '到期年限': [4, 15, 20], '到期税前总收益': [12.55, 180.09, 232.11] }, '装备制造': { '风险等级': 3, '地方政府税率': 10, '到期年限': [4, 9, 18], '到期税前总收益': [12.55, 39.89, 206.12] }, '国民福利': { '风险等级': 1, '地方政府税率': 30, '到期年限': [2, 5, 18], '到期税前总收益': [4.45, 18.77, 206.12] } } years = range(2021, 2050+1) industry_count = len(bonds.keys()) max_donation = 0 max_donation_plan = None # 动态规划求解 for year in years: for industry in bonds.keys(): for duration in bonds[industry]['到期年限']: for amount in range(0, 8000+1, 10): # 计算投资收益 interest = bonds[industry]['到期税前总收益'][bonds[industry]['到期年限'].index(duration)] tax_rate = bonds[industry]['地方政府税率'] income = amount * (1 + interest / 100) * (1 - tax_rate / 100) # 更新最大捐款金额和方案 if income > max_donation and (year == 2050 or amount + income <= 8000): max_donation = income max_donation_plan = (year, industry, duration, amount) return max_donation, max_donation_plan

max_donation, max_donation_plan = investment_plan()print('最大捐款金额:', max_donation)print('投资方案:', max_donation_pla