The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Risk and Volatility: Econometric Models and Financial Practice
Abstract
The advantage of knowing about risks is that we can change our behavior to avoid them. Of course, it is easily observed that to avoid all risks would be impossible; it might entail no flying, no driving, no walking, eating and drinking only healthy foods, and never being touched by sunshine. Even a bath could be dangerous. I could not receive this prize if I sought to avoid all risks. There are some risks we choose to take because the benefits from taking them exceed the possible costs. Optimal behavior takes risks that are worthwhile. This is the central paradigm of finance; we must take risks to achieve rewards but not all risks are equally rewarded. Both the risks and the rewards are in the future, so it is the expectation of loss that is balanced against the expectation of reward. Thus we optimize our behavior, and in particular our portfolio, to maximize rewards and minimize risks. This simple concept has a long history in economics and in Nobel citations. Harry M. Markowitz (1952) and James Tobin (1958) associated risk with the variance in the value of a portfolio. From the avoidance of risk they derived optimizing portfolio and banking behavior. William Sharpe (1964) developed the implications when all investors follow the same objectives with the same information. This theory is called the Capital Asset Pricing Model or CAPM, and shows that there is a natural rela-
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Citations
Cites
Generalized autoregressive conditional heteroskedasticity
Bollerslev, T. (1986) · Journal of Econometrics · doi:10.1016/0304-4076(86)90063-1 · Cited by 22,254
Engle, R. F. (1982) · Econometrica · doi:10.2307/1912773 · Cited by 20,795
Self-citationCAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK*
Sharpe, W. F. (1964) · The Journal of Finance · doi:10.1111/j.1540-6261.1964.tb02865.x · Cited by 19,441
Conditional Heteroskedasticity in Asset Returns: A New Approach
Nelson, D. B. (1991) · Econometrica · doi:10.2307/2938260 · Cited by 10,236
On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks
GLOSTEN, L. R., JAGANNATHAN, R., & RUNKLE, D. E. (1993) · The Journal of Finance · doi:10.1111/j.1540-6261.1993.tb05128.x · Cited by 9,008
Theory of Rational Option Pricing
Merton, R. C. (2019) · World Scientific Reference on Contingent Claims Analysis in Corporate Finance · doi:10.1142/9789814759588_0002 · Cited by 7,948
Theory of rational option pricing
Merton, R. C. (2005) · Theory of Valuation · doi:10.1142/9789812701022_0008 · Cited by 7,161
Engle, R. (2002) · Journal of Business & Economic Statistics · doi:10.1198/073500102288618487 · Cited by 7,133
Self-citationMarkowitz, H. (1952) · The Journal of Finance · doi:10.2307/2975974 · Cited by 4,599
Bollerslev, T., Chou, R. Y., & Kroner, K. F. (1992) · Journal of Econometrics · doi:10.1016/0304-4076(92)90064-x · Cited by 4,270
Cited by
Estimation of the Escalation Factor in Construction Projects Using Value at Risk
Joukar, A., & Nahmens, I. (2016) · Construction Research Congress 2016 · doi:10.1061/9780784479827.234 · Cited by 6
Metadata
- Authors
- Engle, R.
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2004-05-01
- Volume
- 94
- Issue
- 3
- Pages
- 405-420
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W2100976425
- Cited by
- 554
- References
- 39
- FWCI
- 29.02
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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