Oliver Linton
Biographic Data
| ID | 5732764 |
|---|---|
| NAME | Oliver Linton |
| GIVEN NAMES | Oliver |
| FAMILY NAME | Linton |
| SIGNATURE | LINTON O |
| AFFILIATIONS | University of Cambridge |
| ORCID | 0000-0003-2313-0564 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2003 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The Permanent and Temporary Effects of Stock Splits on Liquidity in a Dynamic Semiparametric Model
We develop a dynamic framework to detect the occurrence of permanent and transitory breaks in the illiquidity process. We propose various tests that can be applied separately to individual events and can be aggregated across different events over time for a given firm or across different firms. We use this methodology to study the impact of forward and reverse stock splits on the illiquidity dynamics of the S&P 500, S&P 400 and S&P 600 index stoc…
Dynamic Autoregressive Liquidity (DArLiQ)
We introduce a new class of semiparametric dynamic autoregressive models for the Amihud illiquidity measure, which captures both the long-run trend in the illiquidity series with a nonparametric component and the short-run dynamics with an autoregressive component. We develop a generalized method of moments (GMM) estimator based on conditional moment restrictions and an efficient semiparametric maximum likelihood (ML) estimator based on an i.i.d.…
Dynamic Peer Groups of Arbitrage Characteristics
We propose an asset pricing factor model constructed with semiparametric characteristics-based mispricing and factor loading functions. We approximate the unknown functions by B-splines sieve where the number of B-splines coefficients is diverging. We estimate this model and test the existence of the mispricing function by a power enhanced hypothesis test. The enhanced test solves the low power problem caused by diverging B-splines coefficients, …
A Unified Framework for Specification Tests of Continuous Treatment Effect Models
We propose a general framework for the specification testing of continuous treatment effect models. We assume a general residual function, which includes the average and quantile treatment effect models as special cases. The null models are identified under the unconfoundedness condition and contain a nonparametric weighting function. We propose a test statistic for the null model in which the weighting function is estimated by solving an expandi…
The Impact of Corporate QE on Liquidity: Evidence from the UK
There is substantial uncertainty about the impact of quantitative easing on market liquidity. Identifying the impact is particularly challenging due to the potential for reverse causality, because liquidity considerations might affect quantitative easing purchases. We address this challenge by studying the Bank of England’s 2016–7 Corporate Bond Purchase Scheme. In particular, we use granular offer-level data from the Corporate Bond Purchase Sche…
Evaluating Value-at-Risk Models via Quantile Regression
This paper is concerned with evaluating value at risk estimates. It is well known that using only binary variables, such as whether or not there was an exception, sacrifices too much information. However, most of the specification tests (also called backtests) available in the literature, such as Christoffersen (1998) and Engle and Maganelli (2004) are based on such variables. In this paper we propose a new backtest that does not rely solely on b…
The Shape of the Risk Premium: Evidence From a Semiparametric Generalized Autoregressive Conditional Heteroscedasticity Model
We examine the relationship between the risk premium on the Center for Research on Security Prices (CRSP) value-weighted index total return and its conditional variance. We propose a new semiparametric model in which the conditional variance process is parametric and the conditional mean is an arbitrary function of the conditional variance. For monthly CRSP value-weighted excess returns, the relationship between the two moments that we uncover is…
No prominent works on this page.
The Shape of the Risk Premium: Evidence From a Semiparametric Generalized Autoregressive Conditional Heteroscedasticity Model
We examine the relationship between the risk premium on the Center for Research on Security Prices (CRSP) value-weighted index total return and its conditional variance. We propose a new semiparametric model in which the conditional variance process is parametric and the conditional mean is an arbitrary function of the conditional variance. For monthly CRSP value-weighted excess returns, the relationship between the two moments that we uncover is…
Evaluating Value-at-Risk Models via Quantile Regression
This paper is concerned with evaluating value at risk estimates. It is well known that using only binary variables, such as whether or not there was an exception, sacrifices too much information. However, most of the specification tests (also called backtests) available in the literature, such as Christoffersen (1998) and Engle and Maganelli (2004) are based on such variables. In this paper we propose a new backtest that does not rely solely on b…
A Unified Framework for Specification Tests of Continuous Treatment Effect Models
We propose a general framework for the specification testing of continuous treatment effect models. We assume a general residual function, which includes the average and quantile treatment effect models as special cases. The null models are identified under the unconfoundedness condition and contain a nonparametric weighting function. We propose a test statistic for the null model in which the weighting function is estimated by solving an expandi…
The Impact of Corporate QE on Liquidity: Evidence from the UK
There is substantial uncertainty about the impact of quantitative easing on market liquidity. Identifying the impact is particularly challenging due to the potential for reverse causality, because liquidity considerations might affect quantitative easing purchases. We address this challenge by studying the Bank of England’s 2016–7 Corporate Bond Purchase Scheme. In particular, we use granular offer-level data from the Corporate Bond Purchase Sche…
Dynamic Autoregressive Liquidity (DArLiQ)
We introduce a new class of semiparametric dynamic autoregressive models for the Amihud illiquidity measure, which captures both the long-run trend in the illiquidity series with a nonparametric component and the short-run dynamics with an autoregressive component. We develop a generalized method of moments (GMM) estimator based on conditional moment restrictions and an efficient semiparametric maximum likelihood (ML) estimator based on an i.i.d.…
Dynamic Peer Groups of Arbitrage Characteristics
We propose an asset pricing factor model constructed with semiparametric characteristics-based mispricing and factor loading functions. We approximate the unknown functions by B-splines sieve where the number of B-splines coefficients is diverging. We estimate this model and test the existence of the mispricing function by a power enhanced hypothesis test. The enhanced test solves the low power problem caused by diverging B-splines coefficients, …
The Permanent and Temporary Effects of Stock Splits on Liquidity in a Dynamic Semiparametric Model
We develop a dynamic framework to detect the occurrence of permanent and transitory breaks in the illiquidity process. We propose various tests that can be applied separately to individual events and can be aggregated across different events over time for a given firm or across different firms. We use this methodology to study the impact of forward and reverse stock splits on the illiquidity dynamics of the S&P 500, S&P 400 and S&P 600 index stoc…
Economics (5 works) · Financial Markets and Investment Strategies (5 works) · Mathematics (5 works) · Econometrics (4 works) · Financial Risk and Volatility Modeling (4 works) · Statistics (4 works) · Nonparametric statistics (3 works) · Complex Systems and Time Series Analysis (2 works) · Computer Science (2 works) · Finance (2 works)