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Institution

Stockholm School of Economics

EducationStockholm, Sweden
About: Stockholm School of Economics is a education organization based out in Stockholm, Sweden. It is known for research contribution in the topics: Population & Entrepreneurship. The organization has 1186 authors who have published 4891 publications receiving 285543 citations. The organization is also known as: Stockholm Business School & Handelshögskolan i Stockholm.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors present and discuss some results from an exploratory study of Swedish households' portfolio behavior, which shows that groups of households exhibit different patterns of financial assets and debts.

68 citations

Journal ArticleDOI
TL;DR: In this paper, the authors propose a methodology for valuing corporate securities that allows the straightforward derivation of closed form solutions for complex scenarios, such as a corporate coupon bond with discrete payments, and debt subject to strategic debt service.
Abstract: We suggest a methodology for valuing corporate securities that allows the straightforward derivation of closed form solutions for complex scenarios. The tractability of the framework stems from its modularity-we provide a number of intuitive building blocks that are sufficient for valuation in typical situations. A further advantage of our approach is that it makes economic interpretation far easier than what is typically possible with other approaches, such as solving systems of partial differential equations. As examples we consider a corporate coupon bond with discrete payments, and debt subject to strategic debt service.

67 citations

Journal ArticleDOI
TL;DR: In this article, the effects of using different distributions to parameterize the prior beliefs in a Bayesian analysis of vector autoregressions are studied, and it is found that the prior distributions that allow for dependencies between the equations of the VAR give rise to better forecasts.
Abstract: The effects of using different distributions to parameterize the prior beliefs in a Bayesian analysis of vector autoregressions are studied. The well-known Minnesota prior of Litterman as well as four less restrictive distributions are considered. Two of these prior distributions are new to vector autoregressive models. When the forecasting performance of the different parameterizations of the prior beliefs are compared it is found that the prior distributions that allow for dependencies between the equations of the VAR give rise to better forecasts.

67 citations

01 Jan 2003
TL;DR: The results show that disagreement is a better proxy of in!.ation uncertainty than what previous literature has indicated, and that forecasters underestimate in!ation uncertainty.
Abstract: We study the in!ation uncertainty reported by individual forecasters in the Survey of Professional Forecasters 1969 –2001. Three popular measures of uncertainty built from survey data are analyzed in the context of models for forecasting and asset pricing, and improved estimation methods are suggested. Popular time series models are evaluated for their ability to reproduce survey measures of uncertainty. The results show that disagreement is a better proxy of in!ation uncertainty than what previous literature has indicated, and that forecasters underestimate in!ation uncertainty. We obtain similar results for output growth uncertainty. c

67 citations

Journal ArticleDOI
TL;DR: In this paper, the authors argue that businesses that promote corporate social responsibility through their supply chains by requiring their suppliers to report on and otherwise communicate their CSR are doing a great thing.
Abstract: Businesses that promote corporate social responsibility (CSR) through their supply chains by requiring their suppliers to report on and otherwise communicate their CSR are doing a great thing, aren...

67 citations


Authors

Showing all 1218 results

NameH-indexPapersCitations
Magnus Johannesson10234240776
Thomas J. Sargent9637039224
Bengt Jönsson8136533623
J. Scott Armstrong7644533552
Johan Wiklund7428830038
Per Davidsson7130932262
Julian Birkinshaw6423329262
Timo Teräsvirta6222420403
Lars E.O. Svensson6118820666
Jonathan D. Ostry5923211776
Alexander Ljungqvist5913914466
Richard Green5846814244
Bo Jönsson5729411984
Magnus Henrekson5626113346
Assar Lindbeck5423413761
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
202251
2021247
2020219
2019186
2018168