User profiles for Martin Martens

Martin L. Martens

Faculty of Management, Vancouver Island University
Verified email at viu.ca
Cited by 2574

Forecasting S&P 500 volatility: Long memory, level shifts, leverage effects, day-of-the-week seasonality, and macroeconomic announcements

M Martens, D Van Dijk, M De Pooter - International Journal of forecasting, 2009 - Elsevier
We evaluate the forecasting performance of time series models for realized volatility, which
accommodate long memory, level shifts, leverage effects, day-of-the-week and holiday effects…

A comparison of seasonal adjustment methods when forecasting intraday volatility

M Martens, YC Chang, SJ Taylor - Journal of Financial …, 2002 - Wiley Online Library
In this article we compare volatility forecasts over a thirty‐minute horizon for the spot
exchange rates of the Deutsche mark and the Japanese yen against the US dollar. Explicitly …

Carry investing on the yield curve

M Martens, P Beekhuizen, J Duyvesteyn… - Financial Analysts …, 2019 - Taylor & Francis
Bond carry is the expected return on a bond when the yield curve does not change. The
curve carry strategy within each country constructs buckets based on bond maturities on a …

Hedging demand and market intraday momentum

G Baltussen, Z Da, S Lammers, M Martens - Journal of Financial Economics, 2021 - Elsevier
Hedging short gamma exposure requires trading in the direction of price movements, thereby
creating price momentum. Using intraday returns on over 60 futures on equities, bonds, …

Do the stories they tell get them the money they need? The role of entrepreneurial narratives in resource acquisition

ML Martens, JE Jennings… - Academy of management …, 2007 - journals.aom.org
Adopting a narrative approach to resource acquisition research, we examine the effects of
storytelling on a firm's ability to secure capital. We argue that narratives help leverage …

Measuring volatility with the realized range

M Martens, D Van Dijk - Journal of Econometrics, 2007 - Elsevier
Realized variance, being the summation of squared intra-day returns, has quickly gained
popularity as a measure of daily volatility. Following Parkinson [1980. The extreme value …

Sticking it all together: A critical assessment of the group cohesion–performance literature

M Casey‐Campbell, ML Martens - International Journal of …, 2009 - Wiley Online Library
Although group cohesion is a widely studied construct in the group dynamics literature, there
is a considerable lack of consistency and agreement regarding the construct. This paper …

Measuring and forecasting S&P 500 index‐futures volatility using high‐frequency data

M Martens - Journal of Futures Markets: Futures, Options, and …, 2002 - Wiley Online Library
In the 24‐hr foreign exchange market, Andersen and Bollerslev measure and forecast
volatility using intraday returns rather than daily returns. Trading in equity markets only occurs …

Predicting financial volatility: High‐frequency time‐series forecasts vis‐à‐vis implied volatility

M Martens, J Zein - Journal of Futures Markets: Futures, Options …, 2004 - Wiley Online Library
Recent evidence suggests option implied volatilities provide better forecasts of financial
volatility than time‐series models based on historical daily returns. In this study both the …

Returns synchronization and daily correlation dynamics between international stock markets

M Martens, SH Poon - Journal of Banking & Finance, 2001 - Elsevier
The use of close-to-close returns underestimates returns correlation because international
stock markets have different trading hours. With the availability of 16:00 (London time) stock …