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51.
This paper shows that the gains from opening up to international trade are smaller when firms do not fully internalize downward risk. I develop a general equilibrium model with two key assumptions. First, when faced with adverse productivity shocks, employers can lay off workers without fully paying the social costs of their layoff decisions, a common feature of many institutions. Second, when opening to international trade, the elasticity of demand perceived by an industry increases. In this setup, I show that international trade induces firms to take more risk and (i) raises the equilibrium unemployment rate, (ii) increases the volatility of sectoral sales and (iii) increases welfare proportionately less than in the absence of the externality. Inducing firms to internalize the costs of layoff (Blanchard and Tirole, 2003) therefore appears even more important in a globalized world. 相似文献
52.
Gilles Zumbach† 《Quantitative Finance》2013,13(1):101-113
This article explores the relationships between several forecasts for the volatility built from multi-scale linear ARCH processes, and linear market models for the forward variance. This shows that the structures of the forecast equations are identical, but with different dependencies on the forecast horizon. The process equations for the forward variance are induced by the process equations for an ARCH model, but postulated in a market model. In the ARCH case, they are different from the usual diffusive type. The conceptual differences between both approaches and their implication for volatility forecasts are analysed. The volatility forecast is compared with the realized volatility (the volatility that will occur between date t and t + ΔT), and the implied volatility (corresponding to an at-the-money option with expiry at t + ΔT). For the ARCH forecasts, the parameters are set a priori. An empirical analysis across multiple time horizons ΔT shows that a forecast provided by an I-GARCH(1) process (one time scale) does not capture correctly the dynamics of the realized volatility. An I-GARCH(2) process (two time scales, similar to GARCH(1,1)) is better, while a long-memory LM-ARCH process (multiple time scales) replicates correctly the dynamics of the implied and realized volatilities and delivers consistently good forecasts for the realized volatility. 相似文献
53.
Philippe Burger 《The South African journal of economics. Suid-afrikaanse tydskrif vir ekonomie》2008,76(3):335-355
During the last decade economic literature explored the presence of and reasons for what became known as “the great moderation” in the US and other G7 countries. “The great moderation” describes the decrease in economic volatility experienced in many of the G7 countries. This paper finds that in South Africa volatility is also not constant (it even finds that there are autoregressive conditional heteroskedastic effects present) and that volatility also decreased, particularly since 1994. Following the literature, the paper explores several reasons for this decrease and finds that smaller shocks, better monetary policy and improvements in the financial sector that place less liquidity constraints on individuals and allow them to manage their debt better are some of the main reasons for the reduction in the volatility of the South African economy. The literature on the G7 also suggests that better inventory management contributed to the lower volatility. However, this seems not to be true for South Africa. 相似文献
54.
人民币实际汇率波动对中欧进出口贸易影响的实证研究 总被引:1,自引:0,他引:1
本文通过建立GARCH模型量度了人民币对欧元实际汇率的波动性,并运用协整检验模型、误差修正模型、脉冲响应函数和方差分解技术就人民币实际汇率变动对中国与欧元区之间进出口贸易的影响进行分析。分析结果表明,中国对欧元区出口在长期内随汇率波动而增加,而进口却随汇率波动而减少;在短期内汇率波动推动中国进口,抑制中国出口。人民币升值在长期内给双边出口均造成伤害,但对中国出口伤害更大;在短期内人民币贬值将对中国进出口均有推动作用。本文分析还表明,在长期内,中国对欧元区出口收入效应远远大于欧元区对华出口收入效应;在短期内,中国实际收入变动对欧元区出口表现负向冲击,而欧元区实际收入变动对中国出口表现为正向冲击。中国汇率制度改革对中国出口欧元区产生推动作用,对欧元区出口产生抑制作用,且前者大于后者。实际汇率水平及其波动性变化对欧元区对华出口变动的解释力高于中国实际收入水平变化的解释力,而对于中国对欧元区出口的变动,欧元区实际收入水平变动的解释力高于实际汇率水平及其波动性变化的解释力。 相似文献
55.
Peter B. R. Hazell 《Agricultural Economics》2013,44(Z1):19-27
In a world of high food and energy prices, Africa has an imperative to do a better job feeding itself and ensuring that its people are food secure. At the same time, there is a new business opportunity to work with the private sector in developing the continent's potential to produce significantly more food, raw materials, and biofuels for regional and world markets. A challenge for African policy makers is to find the right balance between a food security and a business agenda, and to ensure that the business agenda engages with large numbers of small farms. Agricultural development requires many things, but the fundamentals for Africa are developing markets, increasing agricultural productivity, and managing volatility. This cannot happen at sufficient scale and speed without strong public sector leadership, enabling policies and investments, and well‐focused implementation strategies. 相似文献
56.
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58.
过渡期产业群的演化与政策启示——以浙江永康五金产业群为例 总被引:1,自引:0,他引:1
当前我国产业集群正处于过渡时期,市场机制的完善提高了市场交易主体间扩展信任水平,从而降低基于扩展信任的交易费用水平。随着集群规模不断扩大,理性的企业会选择更多地与传统集群外有竞争力的企业进行交易,从导致产业集群由以血缘与亲缘等为纽带的传统集群向基于扩展信任的现代集群演进。本文以浙江永康五金产业群为例对此进行了分析,提出了产业集群发展的几点方略。 相似文献
59.
Steven Shuye Wang Wei Li Louis T. W. Cheng 《Review of Quantitative Finance and Accounting》2009,32(3):235-267
We conjecture that an introduction of the Hong Kong Hang Seng Chinese Enterprise Stock Index (H-share Index) futures induces
additional speculating activities in the underlying equities, leading to an increase in volatility and volume of the underlying
stocks. Whereas, a subsequent introduction of H-share index options increases the level of informed trading and opens up opportunities
for speculative and arbitrage activities using futures directly against options. These futures and options trading activities
are much cheaper and more efficient than using the underlying stocks, leading to a significant decline in spot market volatility
and volume. Our results are consistent with these arguments. We also find that derivative trading does not change the liquidity
of H-share constituent stocks. Further tests based on the difference-in-difference approach confirm that the above findings
are robust.
相似文献
Louis T. W. Cheng (Corresponding author)Email: |
60.
《International Journal of Forecasting》2023,39(1):486-502
This paper aims to improve the predictability of aggregate oil market volatility with a substantially large macroeconomic database, including 127 macro variables. To this end, we use machine learning from both the variable selection (VS) and common factor (i.e., dimension reduction) perspectives. We first use the lasso, elastic net (ENet), and two conventional supervised learning approaches based on the significance level of predictors’ regression coefficients and the incremental R-square to select useful predictors relevant to forecasting oil market volatility. We then rely on the principal component analysis (PCA) to extract a common factor from the selected predictors. Finally, we augment the autoregression (AR) benchmark model by including the supervised PCA common index. Our empirical results show that the supervised PCA regression model can successfully predict oil market volatility both in-sample and out-of-sample. Also, the recommended models can yield forecasting gains in both statistical and economic perspectives. We further shed light on the nature of VS over time. In particular, option-implied volatility is always the most powerful predictor. 相似文献