[相关阅读]
【2008金融危机必读系列】(附下载链接,持续添加中)
The Enigma of Capital: and the Crises of Capitalism
For over forty years, David Harvey has been one of the world's most trenchant and critical analysts of capitalist development. In The Enigma of Capital, he delivers an impassioned account of how unchecked neoliberalism produced the system-wide crisis that now engulfs the world.
Beginning in the 1970s, profitability pressures led the capitalist class in advanced countries to shift away from investment in industrial production at home toward the higher returns that financial products promised. Accompanying this was a shift towards privatization, an absolute decline in the bargaining power of labor, and the dispersion of production throughout the developing world. The decades-long and ongoing decline in wages that accompanied this turn produced a dilemma: how can goods--especially real estate--sell at the same rate as before if workers are making less in relative terms? The answer was a huge expansion of credit that fueled the explosive growth of both the financial industry and the real estate market. When one key market collapsed--real estate--the other one did as well, and social devastation resulted.
CONTENTS
1 The Disruption 1
2 Capital Assembled 40
3 Capital Goes to Work 58
4 Capital Goes to Market 106
5 Capital Evolves 119
6 The Geography of It All 140
7 Creative Destruction on the Land 184
8 What is to be Done? And Who is Going to Do It? 215
(地址回复可见)
本帖隐藏的内容
我发过的部分帖子:
2014年度英国《金融时报》最佳商业图书书单(附下载链接)
福布斯:史上最好的20条投资建议 The Best Investment Advice Of All Time (附链接)
资深业内人士推荐的10本交易书(附下载链接)Top Ten Trading Books I Have Read
[原创] 浅析动量因子(附带Matlab/SAS程序及经典文献85篇,免费)
[原创] 如何复制对冲基金的成功?(hedge fund replication,附免费文献下载)
[原创] 对于目前流行的量化投资与smart beta策略的一些看法 (附免费文献10篇)
【2008金融危机必读系列】(附下载链接,持续添加中)
【查理芒格系列】Charlie Munger 推荐的20本书!(附下载链接)
【西蒙系列】跨学科旅行家: 赫伯特 西蒙 (Herbert Simon)资料汇总帖
【大师系列】The Worldly Philosophers (7th Edition)
【大师系列】诺奖得主Joe Stiglitz新书: 打造学习型社会Creating a Learning Society
【大师系列】国际经济大牛Barry Eichengreen英语原版书:Capital Flows and Crises
【大师系列】量化投资大师詹姆斯·西蒙斯 James Simons 资料汇总帖
【大师系列】金融学大牛John Campbell:Empirical Asset Pricing 附带10篇经典文献
【华尔街系列】最经典金融入门书:A Random Walk Down Wall Street (2011)
【华尔街系列】最经典投资入门书:Common Sense on Mutual Funds, John Bogle (2010)
【华尔街系列】独特的逆向投资法:The Art of Contrarian Trading
【华尔街系列】指数投资新发现 The Fundamental Index: A Better Way to Invest
【华尔街系列】行为金融与投资相结合的经典:The Behavior Gap (2012)
【华尔街系列】经典投资入门书:The Neatest Little Guide to Stock Market Investing
【华尔街系列】最新高频交易畅销书《Flash Boys》免费!高频交易背景资料 持续更新!
【华尔街系列】经典高频交易(High Frequency Trading)入门书:暗池 (Dark Pools)
【华尔街系列】财富公式 Fortune's Formula (原版)
【华尔街系列】揭秘全球对冲基金业史上最大破产案内幕:Hedge Hogs (2013)
【华尔街系列】Hedge Fund Investing: A Practical Approach to Understanding Investor Motivation
【华尔街系列】The Future of Hedge Fund Investing
【华尔街系列】The Education of an American Dreamer (Blackstone创办人自传)
【华尔街系列】Bull: A History of the Boom and Bust, 1982-2004
【华尔街系列】The PlayBook: An Inside Look at How to Think Like a Professional Trader
【华尔街系列】Make It In America (2012, 作者是Dow Chemical CEO)
【华尔街系列】Your Money and Your Brain (2007)
【经典教材系列】Engineering Risk and Finance(2014)
【经典教材系列】Wavelet Neural Networks (2014)
【经典教材系列】Commodity Price Dynamics: A Structural Approach (2012)
【经典教材系列】经典随机矩阵理论入门书:Random Matrices (Mehta, 3rd edition)
【经典教材系列】经典随机矩阵理论入门书:An Introduction to Random Matrices
【经典教材系列】最新能源衍生品教材:Quantitative Energy Finance (2014)
【大数据系列】经典大数据入门书 Uncharted: Big Data as a Lens on Human Culture
【大数据系列】How Numbers Rule the World (2014)
[专题系列]
[专题系列] Barra模型-RiskMetrics (RMA)-PMA资料(持续更新)
[专题系列] 主动投资与被动投资(active vs. passive),到底哪个更厉害?(免费!)
[专题系列] ECB 终于把名义利率降为负值了!(附重要文献11篇,免费)
[专题系列] IMF: 浮动汇率,国际资本,与信贷增长的关系 (最新文献4篇,免费)
[专题系列] Frameworks for Central Banking in the Next Century(最新文献9篇,免费)
[专题系列] Energy Derivatives Pricing (能源衍生品定价介绍,27篇文献,全部免费)
[专题系列] 福布斯杂志(Forbes)揭秘世界知名对冲基金AQR制胜交易策略!附带29篇文献
[专题系列] 美联储的新秘密武器:Labor Market Condition Index
[专题系列] 有效市场假设(Efficient Market Hypothesis) :一场伟大的分歧!
[专题系列] 金融危机后,通胀目标(Inflation Targeting)是否仍然可行?
[专题系列] 非常规货币政策退出策略(Exit Strategy) 权威报告!
[专题系列] 回测过程中的过度拟合问题 (backtest overfitting,附最新文献2篇)
[专题系列] 做计量的朋友们,你们的标准误差(standard error)算对了吗?(附程序)