Stock (geology)

About: Stock (geology) is a research topic. Over the lifetime, 31009 publications have been published within this topic receiving 783542 citations.

A new database on human capital stock : sources, methodology and results

Abstract: The authors describe the techniques and data adopted for the construction of a new series of estimates of the stock of education in 85 countries over 28 years (1960-87). It covers all the important developing regions except the republics of the former Soviet Union. The International Economics Department (IEC) continues a well-established trend in growth research of using educational stock (measured as mean school years of education of the labor force) as a proxy for human capital. The series are built from enrollment data using the perpetual inventory method, adjusted for mortality. Estimates are corrected for grade repetition among school-goers and country-specific drop-out rates for primary and secondary students. Enrollment data series used start as far back as 1930 for most countries, and even earlier for others. This reduces the need for backward extrapolation of enrollments to provide the initial estimates of the investment inventory.

A Century of Stock Market Liquidity and Trading Costs

Abstract: I assemble an annual time series of bid-ask spreads on Dow Jones stocks from 1900-2000, along with an annual estimate of the weighted-average commission rate for trading NYSE stocks since 1925. Spreads are cyclical, especially during periods of market turmoil. The sum of half-spreads and one-way commissions, multiplied by annual turnover, is an estimate of the annual proportional cost of aggregate equity trading. This cost drives a wedge between aggregate gross equity returns and net equity returns. This wedge can account for only a small part of the observed equity premium, but all else equal the gross equity premium is perhaps 1% lower today than it was early in the 1900's. Finally, I present evidence that the transaction cost measures that also proxy for liquidity - spreads and turnover - predict stock returns one year or more ahead. High spreads predict high stock returns; high turnover predicts low stock returns. These liquidity variables dominate traditional predictor variables, such as the dividend yield. The evidence suggests that time-series variation in aggregate liquidity is an important determinant of conditional expected stock market returns.

The COVID-19 Outbreak and Affected Countries Stock Markets Response.

Abstract: This paper evaluates the short-term impact of the coronavirus outbreak on 21 leading stock market indices in major affected countries including Japan, Korea, Singapore, the USA, Germany, Italy, and the UK etc. The consequences of infectious disease are considerable and have been directly affecting stock markets worldwide. Using an event study method, our results indicate that the stock markets in major affected countries and areas fell quickly after the virus outbreak. Countries in Asia experienced more negative abnormal returns as compared to other countries. Further panel fixed effect regressions also support the adverse effect of COVID-19 confirmed cases on stock indices abnormal returns through an effective channel by adding up investors' pessimistic sentiment on future returns and fears of uncertainties.

The Stock Market and Investment

Abstract: Changes in stock prices have substantial explanatory power for U.S. investment, especially for long-term samples, and even in the presence of cash flow variables. The stock market dramatically out-performs a standard q-variable because the market-equity component of this variable is only a rough proxy for stock market value. Although the stock market did not predict accurately after the crash of October 1987, the errors were not statistically significant. Parallel relationships for Canada raise the puzzle that Canadian investment appears to react more to the U.S. stock market than to the Canadian market. Article published by Oxford University Press on behalf of the Society for Financial Studies in its journal, The Review of Financial Studies.