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It\nquantifies exchange-rate exposure of a multi-currency export\nportfolio (volatility, diversification ratio, risk\ncontributions and value at risk), screens destination markets\nwith composite entry-risk scores, and identifies risk-efficient\ndestination mixes by mean-variance portfolio optimisation\n(Markowitz, 1952) . Simulated example data\nfor Indian mango, grape, pomegranate and processed\nhorticultural exports illustrate the workflow.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "Language": "en-GB", "LazyData": "true", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "RoxygenNote": "7.3.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-24 14:47:14 UTC", "User": "root" }, "Author": "Anbukkani Perumal [aut, cre, cph]", "Maintainer": "Anbukkani Perumal ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-10-24 11:50:02 UTC", "RemoteUrl": "https://github.com/cran/agriTradeRisk", "RemoteRef": "HEAD", "RemoteSha": "99ab8a55ac6112b70d3dfab762ecf312a60b5076", "_user": "cran", "_type": "src", "_file": "agriTradeRisk_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/b66b48e28b90368d9f70b0bbc42bfb2cde547d7d866f4c35e178cfe445665117", "_filesize": 356484, "_sha256": "b66b48e28b90368d9f70b0bbc42bfb2cde547d7d866f4c35e178cfe445665117", "_expires": 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