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71.
《Economic Systems》2020,44(1):100740
The reduction of non-performing loans, and making correct provisions for them, plays a primary role in the management and minimization of banking credit risk. However, these actions depend primarily upon the cost at which banks may dispose of these bad loans. Hence, this study aims to perceive the price of banks’ credit risk via estimating the shadow price of non-performing loans. We assess and compare the perceived price of the credit risk of Islamic and conventional banks operating in 9 countries from the Middle East and Asia, using a quadratic directional distance function. Following this, we evaluate the impact of different settings of directional vectors on shadow prices by conducting a risk-sensitivity analysis. Applying bootstrap regression, the factors affecting NPLs’ prices are further investigated. The paper concludes that the estimation of the shadow prices of bad loans can provide important elements in favor of credit risk management and, therefore, credit risk mitigation. 相似文献
72.
This paper develops Area-wide Leading Inflation CyclE (ALICE) indicators with the aim to provide early signals for turning points in the euro area headline and core inflation cycles. The headline (core) ALICE leads the reference cycle by three (four) months and the lead times extend to five (nine) months based on longer-leading series. Both ALICE indicators signalled turning points in the inflation cycles ex post and also performed well in a simulated real-time exercise. Moreover, in particular the headline ALICE also appeared to be useful for quantitative forecasting of the direction and level of inflation. 相似文献
73.
In a mean variance framework, we analyse risk taking in the presence of a (possibly) dependent background risk, exemplified in a linear portfolio selection problem. We first characterise the comparative statics of changes in the distribution and dependence structure of the background risk. For unfair, undesirable and loss-aggravating increases in background risks (both dependent and independent), we then present necessary and sufficient restrictions on preferences such that greater background uncertainty leads to reduced risk taking. With mean-variance preferences, these restrictions boil down to simple conditions on the marginal rate of substitution between risk and return. They can be easily related to familiar notions such as risk vulnerability, properness or standardness. 相似文献
74.
75.
本文着重论述了企业分拆的基本原理及其广阔的应用前景,指出在充分发挥企业分拆的各种优势的同时,应控制和防范其中的风险。 相似文献
76.
We study how natural resource rents affect the risk of internal conflict within countries and how the federal structure of countries influences this relationship. Natural resource abundance may induce excessive rent-seeking and thus increase the risk of internal conflict. Fiscal and political decentralization as an institutional arrangement for rent-sharing and political codetermination of regions within a country may limit the destructive effect of natural resource rents on internal stability. Using cross-country and panel data from more than 90 countries covering the period 1984–2004, we find evidence that natural resource rents indeed increase the risk of internal conflict, but this relationship is significantly mitigated by political decentralization. 相似文献
77.
根据显现偏好理论,投资者的投资行为显现了其内在的风险偏好。在本文中,采用均衡分析方法,以中国证券市场中的指数序列为样本,综合期望收益、方差,自相关系数等统计量,准确反映证券组合的投资价值,揭示市场中投资者作为一个整体所具有的风险偏好和投资组合无差异曲线的形式。 相似文献
78.
姜海波 《吉林省经济管理干部学院学报》2012,26(3):62-65
风险是经济理性人对某一事件存在不确定性因素主观预期的概率分布。从现代财务管理理论观点看,企业目标是实现企业价值最大化。从财务管理理论角度研究企业目标实现,综合地体现在企业价值最大化,这为研究企业风险管理提供了新思路。从"企业价值链"角度对施工行业风险管理进行探究,目的是从理论上寻求风险管理对策,以实现施工企业价值最大化目标。 相似文献
79.
辛荷 《吉林商业高等专科学校学报》2006,(4):61-64
本文将金融衍生工具套期保值这一行为作为一种投资行为。在分析各种金融衍生工具单独使用进行套期保值时带来的操作性非系统风险的基础上,借鉴投资组合的基本理论,使用组合的金融衍生工具套期保值,从而既可以达到单独使用金融衍生工具控制财务风险的目的,又可以在一定程度上降低由于金融市场自身极强的波动性带来的风险,具有一定的现实意义。 相似文献
80.
Option hedging is a critical risk management problem in finance. In the Black–Scholes model, it has been recognized that computing a hedging position from the sensitivity of the calibrated model option value function is inadequate in minimizing variance of the option hedge risk, as it fails to capture the model parameter dependence on the underlying price (see e.g. Coleman et al., J. Risk, 2001, 5(6), 63–89; Hull and White, J. Bank. Finance, 2017, 82, 180–190). In this paper, we demonstrate that this issue can exist generally when determining hedging position from the sensitivity of the option function, either calibrated from a parametric model from current option prices or estimated nonparametricaly from historical option prices. Consequently, the sensitivity of the estimated model option function typically does not minimize variance of the hedge risk, even instantaneously. We propose a data-driven approach to directly learn a hedging function from the market data by minimizing variance of the local hedge risk. Using the S&P 500 index daily option data for more than a decade ending in August 2015, we show that the proposed method outperforms the parametric minimum variance hedging method proposed in Hull and White [J. Bank. Finance, 2017, 82, 180–190], as well as minimum variance hedging corrective techniques based on stochastic volatility or local volatility models. Furthermore, we show that the proposed approach achieves significant gain over the implied BS delta hedging for weekly and monthly hedging. 相似文献