Showing 1 - 10 of 191
It is a well accepted fact that stock returns data are often contaminated by market microstructure effects, such as bid-ask spreads, liquidity ratios, turnover, and asymmetric information. This is particularly relevant when dealing with high frequency data, which are often used to compute model...
Persistent link: https://www.econbiz.de/10005702555
It is a well accepted fact that stock returns data are often characterized by market microstructure effects, such as bid-ask spreads, liquidity ratios, turnover and asymmetric information. This is particularly relevant when dealing with high frequency data, which are often used to compute model...
Persistent link: https://www.econbiz.de/10005702617
Bubbles are generally considered the outcome of investor irrationality or informational asymmetry, both objectionable … prices make a lognormal price process that nests the classic CAPM with a potential for endogenous bubbles through learning … might burst to bubbles or decline to near-zero, “pink-sheet†valuations. When the technology shifts phase to generate …
Persistent link: https://www.econbiz.de/10005702759
Procedures are developed to compute the proportion of turning points located in the sample path of time series data. It is shown that the proportion of turning points can be directly related to the data generating process. Methods for estimating model parameters are developed using counts of...
Persistent link: https://www.econbiz.de/10005063634
We consider LM-type tests for a unit root allowing for a break in trend at an unknown date. In addition to the minimum LM test statistic, we propose new LM-type tests based on the least squares estimator of the break date under the null. We examine asymptotic behavior under the null hypothesis...
Persistent link: https://www.econbiz.de/10005063667
The paper develops a unit-root test that allows for an unknown number of structural breaks with unknown functional forms. The test is based on the fact that the behavior of such series can often be captured using a single frequency component of a Fourier approximation. Hence, instead of...
Persistent link: https://www.econbiz.de/10005063755
Being able to correctly characterise an observed time series into its separate difference stationary and trend stationary regimes, should they exist, has important implications for effective model building and forecasting in economics and finance. Existing ratio-based statistics test the null...
Persistent link: https://www.econbiz.de/10005702530
This paper considers an important practical problem in testing time-series data for nonlinearity in mean. Most popular tests reject the null hypothesis of linearity too frequently if the the data are heteroskedastic. Two approaches to redressing this size distortion are considered, both of which...
Persistent link: https://www.econbiz.de/10005702543
Understanding and forecasting financial time series depend crucially on identifying any non-linearity which may be present. Recent developments in tests for non-linearity very commonly display low power, most likely because of over-smoothing and discarding pertinent information. In this...
Persistent link: https://www.econbiz.de/10005702559
In this paper I investigate the asymptotic behavior of tests for problems with locally asymptotically quadratic likelihood. I present necessary and sufficient conditions for a test to be admissible. Even without these restrictive parametric assumptions, I can show that certain common procedures...
Persistent link: https://www.econbiz.de/10005702610